TWI712737B - Wind power generator diagnosis system and method, and wind power generator diagnosis device - Google Patents

Abstract

The present invention provides a wind power generator diagnosis system, which can monitor the state of the wind power generator by a state monitoring sensor, and accurately and quickly determine whether there is a need for analysis of the lubricant, whether the lubricant is replaced, or The necessity of maintenance operations such as replacement of parts. The diagnostic system of the wind power generator of the present invention collects information from the wind power generator with the speed increaser and the generator, and judges the abnormality of the wind power generator based on the collected information, and has: a sensor which supplies the power generator The abnormality of the lubricating oil of the speed machine and the abnormality of the speed-increasing machine are output as the sensor information; and the memory part, which memorizes the reference value determined for each sensor information; and is equipped with a processing device, which executes: 1 processing, which is based on the reference value determined for each sensor information and sensor information, to determine the degree of abnormality of the lubricating oil and the speed increaser; the second processing, which is based on the discrimination result in the first processing, Determine whether the lubricating oil analysis accompanied by the taking of lubricating oil is required; and the third process, which outputs the determination result of the second process to other terminals.

Description

Wind power generator diagnosis system and method, and wind power generator diagnosis device

The present invention relates to a diagnosis system and method for wind power generators, and more particularly to a diagnosis technology for the deterioration of lubricating oil used in speed increasers such as wind power generators and the condition diagnosis technology of speed increasers.

In the maintenance of the speed increaser of the wind turbine. In terms of maintenance, the diagnosis of the properties of the lubricating oil of the speed increaser is an important technology. In the diagnosis of the properties of lubricating oil, according to the general classification, two types are diagnosed: the time-dependent oxidative deterioration of the lubricating oil and the pollution caused by external mixing materials such as water, dust or abrasion powder.

As the oxidative degradation of lubricating oil, there are degradation caused by oxidation of base oil, degradation caused by consumption of additives, and the like. Due to the oxidation and degradation of lubricating oil, it sometimes leads to a decrease in wear resistance, a change in viscosity and viscosity index, a decrease in rust resistance, and a decrease in corrosion resistance. As a result, it will promote the wear of the speed increaser or material fatigue. .

The lubricating oil of the speed-increasing machine is sometimes taken in a small amount at a preset cycle and sent to the analysis sensor, etc., for analysis of viscosity, pollution degree, total acid value, metal concentration, etc., and performance monitoring.

In addition, by the sensor group (for example, output, generator speed, Sensors for power generation, oil temperature, oil pressure, acceleration, etc.) for status monitoring. Heretofore, as the diagnosis of properties of lubricating oil, there is, for example, one described in Patent Document 1.

In Patent Document 1, it is disclosed that the types of contaminants in lubricating oil are specified based on the color detected by the optical sensor.

[Prior Technical Literature] [Patent Literature]

[Patent Document 1] Japanese Patent Laid-Open No. 2012-117951

For lubricating oil, various additives are included in order to maintain lubricating performance. For example, when the lubrication conditions are severe and the pressure of the contact part is high, or when the sliding speed is low or the viscosity of the oil is too low, the film of lubricating oil between the friction surfaces becomes thinner and the friction resistance becomes larger. Abrasion occurs. This state is called boundary lubrication, which causes ablation in extreme cases. Additives that play the role of reducing friction or abrasion in this state of boundary lubrication include oiliness agents, antiwear agents, and extreme pressure additives (extreme pressure agents), sometimes collectively referred to as load-resistant additives. In addition, as other additives, there are, for example, antioxidants or defoamers.

The specific ratio (concentration) of the additive relative to the lubricating oil is necessary to maintain the desired lubricating performance. Previously, as the deterioration diagnosis of lubricating oil, as described in Patent Document 1, a technique for detecting deterioration caused by pollutants was proposed, but no technique for remote diagnosis of lubricating oil was proposed. The method of deterioration of additives (reduction of additives) is effective.

For wind turbines, high-level and stable operation and power generation are required. Therefore, it has the function of detecting anomalies in the stage before the occurrence of anomalies such as failures, and requires the reduction of downtime. In addition, due to the use of high-priced parts such as speed-increasing machines, it is also required to prevent failures in the first place through predictive diagnosis.

Like the speed-increasing machine of wind turbines, in machinery that uses lubricating oil, it can be used for a long time without replacing parts. In fact, in most cases, every part is regularly inspected at a cycle determined every three months or every year. For example, the replacement of the lubricating oil of the speed-increasing machine costs a high cost. In most cases, the wind turbine is stopped and replaced regularly, but there are cases where the lubricating oil that is in good condition and still usable is replaced. On the other hand, there are cases in which abnormalities such as abrasion powder or water mixing in the early stage have not been noticed, causing the speed increaser to malfunction. If the lubricating oil replacement cycle is extended, the power generation loss caused by the windmill shutdown or the lubricating oil replacement cost can be reduced, so it becomes the benefit of the power generation company. However, in general, due to the oxidation and degradation of lubricating oil, the lubricating performance is easy to decrease and wear easily. Therefore, in order to prolong the use period of lubricating oil, it is desirable to monitor the state of rotating machinery such as speed increaser in addition to the state of the lubricating oil. .

The purpose of the present invention is to provide a wind turbine diagnostic system and method, which monitor the state of the wind turbine through a state monitoring sensor, which can accurately and quickly determine whether there is a need for lubricating oil analysis The necessity of maintenance operations such as replacement of lubricating oil or replacement parts.

In order to achieve the above objective, one example of the diagnosis system for a wind turbine of the present invention is a diagnosis system for a wind turbine, which collects information from a wind turbine with a speed increaser and a generator, and judges the wind turbine based on the collected information The abnormality, and has: a sensor, in order to monitor the state of the wind turbine, detect more than one lubricating oil properties of the lubricating oil supplied to the speed increaser, and regard the abnormality of the lubricant and the abnormality of the speed increaser as The sensor information is output; and the memory unit, which memorizes the reference value determined for each sensor information; and is equipped with a processing device, the processing device performs: the first processing, which is based on the information for each sensor The determined reference value and sensor information determine the abnormality of the lubricating oil and the speed increaser; the second process is based on the abnormality of the lubricant and the abnormality of the speed increaser judged by the first process to determine whether it is necessary Lubricant analysis accompanied by the adoption of lubricating oil, whether it is necessary to replace the lubricating oil, and whether it is necessary to replace the parts of the speed increaser; and the third process, which outputs the judgment result of the second process to other terminals.

According to the present invention, based on the information output from the sensor capable of directly detecting the state of the lubricating oil, it is possible to accurately determine whether the lubricating oil is accompanied by the necessity of detailed lubricating oil analysis. It can also seek to optimize the lubricating oil replacement cycle, improve the reliability of the windmill, and increase the power generation of the windmill.

The problems, constitution, and effects other than the above are clarified based on the description of the following embodiments.

1: wind turbine

2: Tower

3: cabin

4: Wheel hub

5: Blade

30: Engine room partition

31: Spindle

32: shrink disk

33: Speed increaser

34: Generator

35: main frame

36: radiator

37: Lubricating oil tank

38: coupling

200: field

200a: field

200b: field

200c: field

210: server

220: Convergence Server

230: Network

240: Central Server

301: Lubricant Supply Device

302: Rotating Machinery

303: Measurement Department

304: Sensor Group

305: filter

901: first sensor information

902: 2nd sensor information

903: first sensor information

1001: data

1002: future value

1003: measured value

1004A: predicted value

1004B: predicted value

2101: Power Generation Enterprise PC

2102: Maintenance company PC

2401: CPU

2402: memory device

2403: Memory (input and output device)

2404: State Judgment Department

2405: Adopt the need or not judgment department

2406: Report Department

2407: Countermeasure Judgment Department

2410: I/F

2411: Operating parameter data (input device)

2412: Sensor data

2413: Additive concentration data

S601~S606: steps

S609~S613: steps

S2001~S2019: steps

△E: color difference

Figure 1 is a schematic diagram of the overall structure of the wind generator.

Figure 2 is a graph showing the results of determination of phosphorus concentration in lubricating oil by ICP element analysis.

Figure 3 is a graph showing the results of determination of the concentration of phosphorus extreme pressure additives in lubricating oil obtained by LC measurement.

Figure 4 is a graph showing the correlation between the concentration of additives in lubricating oil and chromaticity.

Figure 5 is a graph showing the correlation between the concentration of additives in lubricating oil and chromaticity.

Figure 6 is a graph showing the correlation between the concentration of two additives in lubricating oil and chromaticity.

Figure 7 is a graph showing the changes in the values of R, G, and B when the additives in the lubricating oil are consumed (decomposition of additives to produce oxidation products).

Figure 8 is a graph showing the changes in the values of R, G, and B when abrasion powder is generated in lubricating oil.

Fig. 9 is a schematic diagram of a monitoring system for lubricating oil of a wind turbine with a lubricating oil supply system.

Figure 10 is a conceptual diagram of a rotating machine equipped with a sensor for lubricating oil.

Figure 11 is a flow chart of lubricant diagnosis.

Fig. 12 is a graph showing the concept of estimation of remaining life of lubricating oil.

Figure 13 is a graph showing the concept of predicting the remaining life of lubricating oil.

Figure 14 is a graph showing the concept of the remaining life estimation of lubricating oil.

Fig. 15 is a graph showing an example of using an optical sensor to detect abrasion powder in lubricating oil.

Fig. 16 is a graph showing an example of detecting water mixed into lubricating oil using an optical sensor.

Fig. 17 is a graph showing the correlation between the operating time of the windmill and the soundness of the speed increaser.

Figure 18 is a diagram showing the maintenance response corresponding to the state of the speed increaser.

Figure 19 is a schematic configuration diagram of the central server.

Fig. 20 is a processing flowchart of the countermeasure determination unit.

Figure 21 is a schematic diagram of the diagnostic system of the speed increaser of the wind turbine.

Figure 22 is a schematic diagram of the diagnostic system of the speed increaser of the wind turbine.

Figure 23 (a) and (b) are graphs showing the changes in lubricant additive concentration over the years.

Figure 24 is a schematic configuration diagram of the central server.

First, before describing the embodiments of the present invention in detail, the process of completing the present invention will be described.

In recent years, with advances in parts remaining life evaluation technology, etc., preventive maintenance and planned maintenance of machines with rotating parts (hereinafter referred to as rotating machines) are spreading. Decreased lubrication function due to oxidative deterioration of lubricating oil or contaminant particles such as abrasion powder and dust in lubricating oil can induce abrasion and damage of rotating machinery such as bearings and gears related to the failure of rotating machinery, so lubricating oil monitoring technology is particularly important .

One example of the device to which the present invention is applied is a wind power generator that uses lubricating oil or the like in order to reduce the mechanical friction coefficient between the components. In the following, the lubricating oil monitoring technology of the wind turbine is taken as an example.

Figure 1 shows a schematic overall configuration diagram of a downwind type wind turbine. In FIG. 1, each machine arranged in the nacelle 3 is shown by dotted lines. As shown in Fig. 1, the wind power generator 1 is provided with blades 5 that are rotated by wind, a hub 4 that supports the blades 5, a nacelle 3, and a tower 2 that rotatably supports the nacelle 3 in a horizontal plane.

The nacelle 3 is equipped with: a main shaft 31 connected to the hub 4 and rotates with the hub 4; a shrink disk 32 connected to the main shaft 31; and a speed increaser 33 connected to the main shaft 31 via a shrink disk 32 to rotate The speed is increased; and the generator 34, which rotates the rotor through the coupling 38 at the speed increased by the speed increaser 33 to generate electricity.

The part where the rotational energy of the blade 5 is transmitted to the generator 34 is called the power transmission part, and the main shaft 31, the shrink disk 32, the speed increaser 33, and the coupling 38 are included in the power transmission part. In addition, the speed increaser 33 and the generator 34 are held on the main frame 35. In addition, one or more lubricating oil grooves 37 for storing lubricating oil for the lubrication of the power transmission part are provided on the main frame 35. Moreover, in the nacelle 3, a radiator 36 is arranged on the windward side of the nacelle partition wall 30. The generator 34 or the speed increaser 33 is circulated with cooling water cooled by the radiator 36 using the outside atmosphere to cool the generator 34 or the speed increaser 33. In Fig. 1, a so-called downwind windmill is taken as an example for description, but this embodiment can of course be adapted to an upwind windmill.

In wind turbines, lubricating oil is used for most rotating machinery. For example, in FIG. 1, lubricating oil is supplied to the bearings of the main shaft 31, the speed increaser 33, the generator 34, and the steering, pitch, etc. not shown. The control system that changes the pitch angle of the blades according to the wind speed and controls the output is the pitch control of the blades. In order not to be wasted by the wind, the direction control system of the nacelle that follows the wind direction is steering control. system.

In addition to such a power transmission unit, a rotating machine including a rotating machine for steering control or pitch control must be supplied with lubricating oil by forced circulation. Lubricating oil reduces the friction of the rotating parts of the rotating machinery and prevents the wear or damage of the parts, or energy loss. However, if the lubricating performance is reduced due to the deterioration of the lubricating oil over time, or contamination occurs due to the mixing of abrasive particles and dust into the lubricating oil, the friction coefficient increases and the risk of failure of the wind turbine increases.

If the wind turbine fails, there will be a large amount of cost loss due to the cost of replacing the failed parts and the reduction of power generation revenue during a power outage. Therefore, it is expected that there will be countermeasures such as the use of remaining life prediction, early part preparation for omen detection, and shortening of the power outage period. In particular, if the performance of the lubricating oil is reduced, the speed-increasing machine, which is an important part, will increase the risk of failure. Therefore, it is important to estimate the remaining life or replacement period of the lubricating oil as early as possible.

As the monitoring target parameters used to evaluate the characteristics of lubricating oil, various types such as viscosity, total acid value measurement, and component element analysis are considered.

However, when it is assumed that the lubricating oil of a wind turbine generator is used as a monitoring object, such as in the evaluation of the characteristics of viscosity, since the lubricating oil of the speed increaser of the wind turbine generator uses a chemically stable synthetic oil, the viscosity hardly changes. Therefore, this is only not suitable as an indicator of remaining life estimation. In addition, in the measurement of the total acid value that represents the degradation based on oxidation, since the lubricating oil of the speed increaser of the wind turbine generator uses a synthetic oil that is very stable to oxidation, the total acid value is almost unchanged, so this is not suitable as the remaining Index of life expectancy.

In addition, the method of measuring the particulate powder or moisture contained in the lubricating oil is also considered. However, when the lubricating oil is detected, there is a possibility of wear or leakage. It is expected that the particulate powder or moisture is detected An omen was detected before. In addition, the lubricating oil of the speed increaser of the wind turbine generator circulates in a state where the viscosity is high and many bubbles are mixed, so it is difficult to identify the bubbles and particles in the particle measurement method where a particle counter or an iron powder concentration meter is installed for particle measurement. In addition, in principle, it is impossible to measure the consumption of the additives of the lubricating oil described below with a particle counter or an iron powder concentration meter.

Based on the above, in order to predict the remaining life of wind turbine lubricants early, a new performance evaluation method for wind turbine lubricants is needed.

However, as mentioned above, in order to maintain lubricating performance, lubricating oil contains various additives. For example, oily agents, anti-wear agents, extreme pressure additives (extreme pressure agents) and other load-resistant additives, antioxidants or defoamers, etc. The lubricating oil used in the speed-increasing machine of wind turbines contains single or plural of these additives.

The oily agent is adsorbed on the metal surface to form an adsorption film. The adsorption film hinders the direct contact between the metal and the metal in the boundary lubrication state, and plays the role of reducing friction and abrasion. As the oily agent, higher fatty acids, higher alcohols, amines, esters, metal soaps, etc., which have a large adsorption force on the metal surface can be used.

The oily agent is more effective in preventing abrasion under strict load conditions, and the anti-wear agent is generally used phosphate, phosphite, and thiophosphate. Antiwear agent is used in turbine oil, Wear-resistant hydraulic oil, etc.

In the contact surface under the most severe condition of boundary lubrication, the temperature of the friction surface becomes very high, and the adsorption film of the oily agent desorbs and loses its effect. However, the extreme pressure additives include sulfur, chlorine, phosphorus, etc. The chemically active material therefore reacts with the metal surface to form compounds containing sulfur, chlorine, phosphorus, etc., forming a coating with a small cutting force, preventing abrasion, ablation, and fusion.

As extreme pressure additives, generally substances containing sulfur, chlorine, phosphorus, etc., in addition to sulfurized fats, sulfurized esters, sulfides, chlorinated hydrocarbons, etc., lead naphthenate, or sulfur, phosphorus, chlorine in the same molecule A compound of more than two elements. As specific extreme pressure additives, there are sulfurized cetyl oil, sulfurized fatty ester, dibenzyl disulfide, alkyl polysulfide, olefin polysulfide, xanthic sulfide, chlorine Fossil wax, methyl trichlorostearate, lead naphthenate, alkyl thiophosphoric acid amine, chloroalkyl xanthate (chloroalkyl xanthate), phenolic thiocarbamate, triphenyl phosphorothioate Ester (TPPT: Triphenyl Phosphorothionate), 4,4'-methylene bis(dithiocarbamate), etc.

Antioxidant is used to prevent deterioration due to oxidation of base oil. There are 3 kinds of antioxidants. These are: Free Radical Inhibitor, which inhibits the formation of radicals in the initial stage of oxidation, and stops the chain of oxidation reactions of hydrocarbons; Peroxide Decomposer, which produces The peroxide decomposes and becomes a stable non-radical compound; and the metal deactivator (Metal Deactivator), which forms a strong adsorption film (passivation anti-corrosion film). The role of metal deactivator is to prevent the formation of iron or copper due to the oxidation of lubricating oil The oxide metal is corrosive and melts.

As specific antioxidants, there are phenol derivatives (2,6-di-tertiary-butyl-p-cresol (BHT), 2,6-di-tertiary-butyl-p-phenol (DBP), 4,4' -Methylene bis(2,6-dialkylphenol), etc.), amine derivatives (2,6-dialkyl-α-dimethylamino-p-cresol, 4,4'-tetramethyldiamine Diphenylmethane, octylated phenylnaphthylamine, dioctyl-diphenylamine, dinonyldiphenylamine, phenothiazine, 2,2,4-trimethyldihydroxyquinoline, etc.), Metal dithiophosphate, alkyl sulfide, etc., 1,4-dioxybianthraquinone (alias: quinizarin), 1,2-dioxydianthraquinone (alias: alizarin), benzotriazole Azole, alkyl benzotriazole, etc.

As examples of defoamers, silicon-based defoamers, surfactants, polyethers, and higher alcohols are known. In a lubricating oil with a high viscosity like gear oil, it is difficult to eliminate air bubbles if it is generated, and it will cause damage to parts caused by reduced lubrication performance, cavitation, reduction of oil pressure efficiency, and reduction of cooling capacity.

These additives (load-resistant additives, antioxidants, fire-fighting materials) containing only a specific ratio (concentration) with respect to the lubricating oil are necessary to maintain the desired lubricating performance. However, as described in Patent Document 1, a technique for detecting deterioration caused by pollutants and deterioration caused by the incorporation of moisture has been proposed. However, it is desirable to directly measure the components of the lubricating oil itself, especially the lubricating oil. The concentration of additives, etc.

Therefore, the inventors of the present invention conducted comparative studies on methods of predictive diagnosis of lubricant deterioration by monitoring the state of the additives contained in the lubricant, especially the concentration transition.

Fig. 2 shows the results of determination of phosphorus concentration as a component of extreme pressure additives in lubricating oil by ICP (Inductively Coupled Plasma) elemental analysis known as one of the component analysis methods. The horizontal axis represents the elapsed time (months), and the vertical axis represents the phosphorus (P) concentration (ppm). As a result, no meaningful relationship was seen between the elapsed time and the phosphorus concentration. This implies that the accuracy of element analysis may not be sufficient for the accuracy used for predictive diagnosis.

Figure 3 shows the results of the consumption behavior (reduction) of phosphorus-based extreme pressure additives in lubricating oil accompanying windmill operation by LC/MS (Liquid Chromatography Mass Spectrometry; liquid chromatography/mass spectrometry: the following LC measurement) The graph. In this example, the phosphorus-based extreme pressure additive (extreme pressure agent) is specifically TPPT. The horizontal axis is the elapsed time (months), and the vertical axis is the TPPT concentration (relative value for new oil). As a result, a meaningful relationship is seen between the elapsed time and the concentration, and the concentration decreases linearly with the elapse of months.

In LC measurement, only additives in lubricating oil can be quantified with high accuracy and sensitivity.

Based on the above research, it can be known that in order to monitor the changes in the concentration of additives in lubricating oil over time and maintain the function of managing additives, a measurement method that can directly determine the concentration of additives in lubricating oil like LC measurement is applicable. It is also known that if the concentration of additives in the lubricant is lower than a certain threshold at this time, the performance of the lubricant will become insufficient, which will cause the device to malfunction.

With these, as a new performance evaluation method for wind turbine lubricating oil used to predict the remaining life of the wind turbine lubricating oil, the additives in the lubricating oil, especially the extreme pressure agent, are concentrated Degree measurement is more effective.

In addition to LC measurement, there are Fourier Transform Infrared Spectroscopy (FT-IR), Nuclear Magnetic Resonance (NMR), etc. as methods that can accurately and directly determine the concentration of additives in lubricating oil.

By LC measurement, FT-IR, NMR, etc., the concentration of additives in lubricating oil can be accurately and directly measured, thereby monitoring the deterioration (reduction) of additives in lubricating oil. However, in these analysis methods, it is not only necessary to stop the wind turbine that is taken with the sample of lubricating oil, but also time is required for the analysis, so it is desirable to be able to easily and accurately determine the concentration of additives in lubricating oil. In addition, since wind turbines are mostly installed in mountainous or offshore areas, it is desirable to measure the concentration of lubricant additives through online remote monitoring.

The inventors conducted various studies and found that the chromaticity data obtained based on the measurement data of the optical sensor can be used to determine the concentration of lubricant additives. Here, the optical sensor is one that quantitatively expresses color based on the visible light transmittance or reflectance of the lubricant. In the above example, although the TPPT of the extreme pressure agent is used as the additive, in addition, there are oily agents, anti-wear agents, other extreme pressure additives, antioxidants, and fire-fighting agents as load-resistant additives It can also be adapted when the density and chroma are related.

As a result of the inventor’s research, it was found that the concentration of additives in lubricating oil and the chromaticity (chromaticity) of lubricating oil obtained by LC measurement etc. are related as shown in Fig. 4. Figure 4 is a graph showing the correlation between the concentration of extreme pressure agent in lubricating oil and chromaticity. The vertical axis represents the concentration of additives in lubricating oil obtained by LC measurement, etc., and the horizontal axis represents the color obtained based on the measurement data of the optical sensor. degree. Here, the chromaticity in FIG. 4 is represented by the color difference (ΔE) calculated in a color space composed of a combination of RGB.

The definition of △E in Figure 4 is △E=(R ² +G ² +B ² ) ^1/2

R, G, and B mean the three primary colors of light in additive mixing (Red, Green, and Blue). They are represented by the numerical value of the color coordinates and expressed as (R, G, B). Furthermore, the RGB chromaticity coded by 24 bpp (24 bit per pixel, 24 bits per pixel) is represented by three 8-bit integers (0 to 255) representing the brightness of red, green, and blue. For example, (0,0,0) means black, (255,255,255) means white, (255,0,0) means red, (0,255,0) means green, (0,0,255) means blue. Furthermore, as the expression of chromaticity, in addition to the RGB color system, there are XYZ color system, L*a*b* color system, L*u*v* color system, etc., which can be mathematically converted And it is expanded into various color systems, and other color systems can also express chromaticity.

For each additive, as shown in Figure 4, the relationship between the concentration of the additive in the lubricating oil obtained by LC measurement etc. and the chromaticity of the lubricating oil obtained based on the measurement data of the optical sensor is calculated in advance. , When monitoring lubricating oil, the chromaticity of the lubricating oil obtained based on the measurement data of the optical sensor can be obtained, and the concentration of the additive of the lubricating oil can be determined based on the chromaticity of the lubricating oil.

In this way, the reduction (consumption) of additives in the lubricant, which is clearly an indicator of the deterioration of the lubricant, is obtained from the chromaticity measured by the optical sensor. By this, compared with LC measurement, FT-IR, NMR, etc. analysis, the concentration of lubricant additives can be easily measured. Moreover, if the optical sensor is installed in the nacelle, it is also possible to monitor the lubricating oil of the wind power generator from a distance online.

As shown in Figure 4, although the lubricant contains extreme pressure agents as additives, as additives, it can also be adapted to oiliness agents, anti-wear agents, other extreme pressure additives, antioxidants, and fire-fighting agents as load-resistant additives. .

As an example, Figure 5 shows the relationship between the concentration of extreme pressure agent TPPT and chromaticity in lubricating oil. The reasons why the consumption of additives, which are indicators of deterioration of lubricating oil, are related to chromaticity are explained below. Additives are decomposed when they act on the sliding surface of gears or bearings. The decomposition products of additives are phenolic oxides or oxidation products such as benzoquinone, which are colored yellow to reddish brown. For example, if BHT as an antioxidant or TPPT as an extreme pressure agent is decomposed, a coloring compound is produced. BHT and TPPT before oxidation are roughly colorless. With these, the deterioration of the lubricating oil has a positive correlation with the increase of the decomposition product, that is, the coloring compound. Therefore, the degree of deterioration of lubricating oil can be obtained by colorimetric measurement.

There are cases where the lubricant contains multiple additives. In this case, if the concentration of each additive in the lubricating oil obtained by LC measurement, etc., and the chromaticity of lubricating oil obtained based on the measurement data of the optical sensor are calculated in advance, then When monitoring lubricating oil, based on the chromaticity of the lubricating oil obtained from the measurement data of the optical sensor, the concentration of each additive in the lubricating oil can be measured.

Figure 6 is a graph showing the correlation between additive concentration and chromaticity of two additives, extreme pressure agent (ZDDP) and antioxidant (BHT). According to the figure, the consumption rate of extreme pressure agent and antioxidant is different. The concentration of such additives with different consumption rates can also be based on optical sensing Measure the chromaticity obtained from the measurement data of the instrument.

Furthermore, the inventors discovered that based on the measurement data of the optical sensor, the consumption (deterioration) of lubricant additives and the contamination of lubricant can be identified. That is, for the additives of lubricating oil used in the speed-increasing machine of wind power generation, which is one of the applicable fields of the present invention, if the concentration of each additive in the lubricating oil is obtained in advance and the measurement data based on the optical sensor is obtained The relationship between lubricating oil's chromaticity, when monitoring lubricating oil, can estimate the concentration of lubricating oil additives based on the measurement data of the optical sensor. By this, the degree of deterioration of the lubricating oil can be judged.

Figure 7 is a graph showing the changes in the values of R, G, and B when the extreme pressure agent is consumed in lubricating oil, that is, when the extreme pressure agent decomposes and generates oxidation products. The horizontal axis is the elapsed time (months), and the vertical axis is the value of R, G, and B. As shown in Figure 7, in the consumption of additives, the value of B among R, G, and B is greatly reduced. When the additives are antioxidants, anti-wear agents, etc., the same changes in RGB values are found.

On the other hand, Fig. 8 is a graph showing the changes in the values of R, G, and B when abrasion powder is generated in the lubricant. As in Fig. 7, the horizontal axis represents the elapsed time (months), and the vertical axis represents the values of R, G, and B. As shown in Figure 8, in the case of pollution, all the values of R, G, and B drop significantly. In this case, if lubricant contamination occurs due to abrasion powder or dust, these solid components float in the lubricant, so the visible light transmittance decreases. Similarly, if water is mixed in, the lubricating oil becomes turbid, and therefore, the visible light transmittance decreases. Therefore, by using an optical sensor to measure lubricating oil, in addition to measuring the concentration of lubricating oil additives, it is possible to detect lubricating oil pollution caused by abrasion powder or dust, such as water mixing, and changes from each value of RGB , Can identify the deterioration and Pollution.

When the deterioration and pollution of the lubricating oil is relatively minor, and there is no need to replace the lubricating oil or replacement parts, in terms of time and cost, stop the wind turbine and use the lubricating oil from the speed increaser of the wind turbine It is not suitable for LC measurement, FT-IR, NMR and other composition analysis, element analysis, fine particle measurement, viscosity measurement, and total acid value analysis. Therefore, various sensors including optical sensors installed in the lubricating oil of the speed-increasing gear detect the properties of the lubricating oil, based on the sensor information (a value representing the physical and chemical properties of the lubricating oil) Immediately determine the degree of abnormality of the lubricating oil, and according to the result of the determination, promote the use of lubricating oil for detailed lubricating oil analysis at an appropriate time before the speed increaser malfunctions. Thereby, it is possible to prevent failures in advance by performing appropriate lubricant replacement, filter replacement, or replacement of parts, and the wind turbine can be efficiently managed by quick repairs and other countermeasures.

As the lubricating oil properties that should be measured by the lubricating oil property sensor, there are lubricating oil's temperature, color, viscosity, density, dielectric constant, conductivity, and pollution level (ISO (International Organization for Standardization: International Standardization) Agency) code, NAS (National Aerospace Standard: National Aerospace Standard) level), etc. Because the lubricating oil properties that can be measured by each lubricating oil property sensor are different according to the specifications of the sensor (there are also sensors that can measure not only one but also two or more lubricating oil properties) Therefore, in actuality, the combination of the lubricating oil property sensor mounted on the speed-increasing machine is different according to the lubricating oil property to be measured and the specifications of each sensor.

Hereinafter, the embodiments of the present invention will be described in detail using drawings. But this hair The explanation is not limited to the description of the embodiment shown below. Those skilled in the art can easily understand that the specific structure of the present invention can be changed without departing from the concept or spirit of the present invention.

In the configuration of the invention described below, the same symbol may be used in common among different drawings for the same part or part with the same function, and repeated descriptions are omitted.

When there are multiple elements with the same or the same function, there are cases where the same symbol is marked with different additional letters. However, when there is no need to distinguish between multiple elements, there are cases where the addition of letters is omitted.

The symbols such as "1st", "2nd" and "3rd" in this manual are used to identify the constituent elements and are not limited in quantity, order, or content. In addition, the numbers used to identify the constituent elements are used in each context, and the numbers used in one context may not necessarily represent the same composition in other contexts. In addition, it does not prevent the component identified by a certain number from having the function of the component identified by other numbers.

In order to facilitate the understanding of the invention, the position, size, shape, range, etc. of each component shown in the drawings and the like do not indicate the actual position, size, shape, range, etc. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings and the like.

[Example 1]

The first embodiment is to monitor the lubricating oil supplied to the mechanical drive part of the wind turbine. The lubricating oil is detected by various sensors including optical sensors in the lubricating oil of the speed increaser. Properties, acceleration of speed-increasing machine used to grasp the state of rotating machinery, and based on its sensor information (numerical value representing the physical and chemical state of the lubricant) to instantly determine the degree of abnormality of the lubricant and the state of the rotating machinery. In addition, Example 1 is to facilitate the diagnosis of the wind turbine for detailed lubricating oil analysis, lubricating oil collection, lubricating oil replacement, filter replacement, and parts replacement at an appropriate time point before the failure of the speed increaser based on the judgment result system. The system includes an input device, a processing device, a memory device, and an output device. The memory device memorizes the relative relationship between the concentration of lubricant additives and the data of the optical sensor, namely the chromaticity. The processing device is based on the optical sensor data that measures the chromaticity of the lubricant, and infers from the chromaticity characteristics of the lubricant. The time when the concentration of the additive in the obtained lubricating oil becomes below a certain threshold value (reference value).

In addition, Embodiment 1 is a wind turbine diagnosis system and method using an optical lubricating oil sensor of a server equipped with a processing device, a memory device, an input device, and an output device. In this method, the following steps are performed: first, the first step is to obtain the chromaticity data of the lubricating oil of the wind turbine in order to grasp the properties of the lubricant; the second step is to determine the concentration of the additives contained in the sample; The third step is to store the measured additive concentration in the memory device in time series and set it as additive concentration data; and the fourth step is to process the additive concentration data by the processing device to infer the concentration of the additive to a specific threshold Time.

(1. Overall system structure)

Fig. 9 shows a schematic diagram of a monitoring system for lubricating oil of a wind power generator with a lubricating oil supply system. In FIG. 9, the nacelle 3 of the wind turbine 1 of FIG. 1 is extracted and shown for explanation. Inside the nacelle 3, there are a main shaft 31, a speed increaser 33, a generator 34, and bearings such as steering and pitch not shown in the figure. Lubricating oil is supplied to them from a lubricating oil tank 37.

As shown in FIG. 9, a plurality of wind power generators 1 are usually installed in the same place, and they are collectively referred to as a field 200a and the like. In each wind turbine 1, various sensors (not shown) are installed in the lubricating oil supply system, and sensor signals reflecting the state of the lubricating oil are collected in the server 210 in the nacelle 3. In addition, the sensor signal obtained from the server 210 of each wind turbine 1 is sent to the aggregation server 220 configured in each field. The data from the aggregation server 220 is sent to the central server 240 via the network 230. It also sends data from other fields 200b or 200c to the central server 240. In addition, the central server 240 can send instructions to each wind turbine 1 via the aggregation server 220 or the server 210.

(2. Sensor configuration)

Figure 10 is a conceptual diagram of a rotating machine equipped with a sensor for lubricating oil. Lubricating oil is supplied to the rotating machine 302 from a lubricating oil supply device 301 such as a pump. The lubricating oil supply device 301 is connected to the lubricating oil tank 37 and receives the supply of lubricating oil. The rotating machine 302 includes, for example, the speed-increasing gear 33 and other parts that make mechanical contact, it also includes a power transmission unit for steering and pitch control.

The sensor group 304 is arranged in the flow path of the lubricant in order to detect the state of the lubricant. In the first embodiment, the flow path (near the end of the lubricating oil path) branched from the flow path of the lubricating oil connected to the lubricating oil outlet of the rotating machine 302 is provided with the measuring part 303, and the lubricating oil is introduced into the measuring part 303 A part of the sensor group 304 is installed in the measuring unit 303. The reason why the measuring part 303 is not arranged in the main flow path of the lubricating oil is to adjust the flow rate of the lubricating oil of the measuring part 303 to a flow rate suitable for detecting the state of the lubricating oil. The lubricating oil discharged from the rotating machine 302 returns to the tank 37 through the filter 305. Furthermore, the filter 305 is not necessary. Sensor group 304 measures various types of lubricants parameter. For example, as physical quantities, in addition to the chromaticity of the optical sensor, there are also temperature, oil pressure, etc. Temperature, oil pressure, etc. can be measured using a well-known sensor. Based on the temporal changes of these parameters, the state of the lubricant can be evaluated. Although the sensors for the temperature etc. are not necessary, it is better to provide the sensors to detect the state of the lubricant in more detail.

Moreover, in the first embodiment, the sensor group 304 includes an optical sensor equipped with a visible light source and a light receiving element and measuring the visible light transmittance of the lubricant. Measure the chromaticity information of the lubricating oil (values of R, G, B) by optical sensors, and obtain the residual additive amount in the lubricating oil from the acquired chromaticity data to diagnose the degree of deterioration and remaining life . In the diagnosis based on sensor data, the diagnosis is based on the sensor data of the optical sensor or the data of the optical sensor and other one or more kinds of sensors. The optical sensor can perform the same diagnosis even if the visible light reflectance of lubricating oil is obtained.

The lubricating oil has deteriorated quality due to its use and cannot perform its original function. Therefore, maintenance such as replacement must be performed according to the deterioration state of the quality. In order to know the timing of such maintenance, the data that can be collected from the remote monitoring sensor group 304 is more useful for the efficiency of maintenance management. The data collected by the sensor group 304, for example, is collected in the server 210 in the nacelle 3, and then sent to the central server that collects the data of multiple fields via the aggregation server 220 that collects the data in the field 200 240.

However, for the analysis of equipment that needs to be used for measurement such as LC measurement, FT-IR measurement, and NMR measurement, the wind generator must be stopped, a sample of lubricating oil must be properly collected, and the analysis shall be performed by additional equipment. Expect the LC measurement, FT-IR measurement, NMR measurement to measure The result is also stored as data in the central server 240 to collect the data, and take the data into consideration to grasp the properties of the lubricant.

In addition, as the collected data, it can include not only data related to lubricants, but also data representing the operating conditions of the wind turbine. For example, the acceleration sensor that detects the vibration of the wind turbine 1 (the larger the deterioration speed of the lubricant), the output value of the windmill (the larger the deterioration speed of the lubricant), the actual operating time (the longer The deterioration rate of the lubricating oil is faster), the mechanical temperature (the higher the deterioration speed of the lubricating oil), the rotation speed of the shaft (the faster the deterioration speed of the lubricating oil, the faster the deterioration speed of the lubricating oil), the temperature of the lubricating oil (the higher the deterioration speed), The faster the deterioration of the lubricant), etc. They can be collected from the control signals of the sensors or devices of a known configuration installed at various places of the wind turbine.

(3. Process of lubricant diagnosis)

Fig. 11 is a flowchart showing the lubricant diagnosis process of the first embodiment. The processing shown in FIG. 11 is performed under the control of any one of the server 210, the aggregation server 220, and the central server 240 in FIG. 9. The following example is performed by the central server 240. Functions such as calculation or control can be realized by using the processor to execute the software stored in the memory device of the server, and realize the set processing in cooperation with other hardware. Furthermore, the functions equivalent to those formed by software can also be implemented by hardware such as FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit), etc.

When the central server 240 performs control, since there are a plurality of wind turbines 1 under its distribution, the following processing is performed for each wind turbine. This process is basically repeated The processing start time is set by a timer or the like, for example, processing starts at 0 o'clock every day (S601). In addition, the central server 240 can also perform at any time according to the instructions of the operator.

In processing S602, the central server 240 checks the replacement time of the lubricant. The initial value of the replacement period, for example, is raised before the lubricating oil operates at the design temperature, and the remaining life is initially set. The replacement period can be based on actual measurement data, and then updated in processing S610.

When it is the time to replace the lubricating oil, replace the lubricating oil in S603. Lubricating oil replacement is usually an operator’s work, so the central server 240 displays or informs the operator of the time and object to be replaced.

In the case of a non-lubricating oil replacement period, in processing S604, the central server 240 diagnoses the properties of the lubricating oil based on the sensor data. As the sensor data, in addition to the chromaticity information of the lubricant obtained by the optical sensor, temperature, oil pressure, concentration of particles contained in the lubricant, etc. can also be used. The data measured by the sensor group 304 is sent to the central server 240. For example, the central server evaluates the characteristics of the lubricant by comparing the parameters obtained from the sensors with a preset reference value. Make the central server memorize in advance the correlation between chromaticity and additive concentration shown in Figure 4 to Figure 6, and each of R, G, and B when the additive in the lubricating oil is consumed (the additive is decomposed to generate oxidation products) as shown in Figure 7 The change in value, the change in the values of R, G, and B when abrasion powder is generated in the lubricating oil shown in Figure 8, are used for comparison with the sensor data. For the reference value, in addition to the preset threshold value, the preset change of sensor information per unit time can also be used.

If the result of diagnosis in processing S605 and S606 is abnormal, then perform lubrication in processing S603 Oil replacement. If there is no abnormality, proceed to processing S609. In the process S605, when, for example, all the values of R, G, and B of the optical sensor are lower than a specific threshold, it is determined that there is a contamination abnormality. However, the data of the previous sensors can also be used in combination for abnormal pollution. In S606, using the correlation between additive concentration and chromaticity shown in Figures 4 to 6, when the additive concentration obtained by the chromaticity measured by the optical sensor is lower than a specific threshold, it is determined that there is an additive The degree of deterioration is abnormal. Furthermore, when the concentration of the additive is not calculated by the chromaticity, but the chromaticity is less than a specific threshold, it can also be judged that there is an abnormality in the deterioration of the additive.

In the process S609, color measurement data and the like are input to the central server 240, and the data are stored in a time series.

From the point of view of preventive maintenance and planned maintenance of wind turbines, it is expected that the deterioration of lubricating oil will be diagnosed based on the transition of the concentration of additives contained in the lubricating oil before judging an abnormality.

Fig. 12 is a graph showing the concept of obtaining results of lubricating oil chromaticity data stored in time series. The horizontal axis represents time (months), and the vertical axis represents chromaticity (ΔE). The dashed line parallel to the horizontal axis indicates a chromaticity of 300. At this time, the TPPT concentration to 50 can be determined by experiments in advance as shown in FIG. 6, for example. For example, set the chromaticity as a fixed-point observer and plot the chromaticity data 700 until 30 months have passed. As in Fig. 3, a meaningful relationship is confirmed between elapsed time and chromaticity, for example, chromaticity decreases linearly with time. From chromaticity data (values of (R, G, B)), use the correlation between chromaticity (△E) and additive concentration as shown in Figure 4~Figure 6 to find the extreme pressure agent in the lubricant Additive concentration. Therefore, from the chromaticity measurement results stored in time series, the additive Speed of consumption. Here, if the additive concentration becomes approximately half of the new product, the performance of the lubricating oil is below the allowable range. This threshold can be obtained experimentally.

In this example, in the process S610, the threshold value is set to 50 in advance, and it is estimated that the time when the concentration estimated from the additive concentration measurement result stored in a time series becomes 50 is used as the replacement time. If it is to obtain the actual measured value as shown in Figure 3, the data can be extrapolated on the premise that the concentration decreases monotonously.

The result of the replacement time estimation in the processing S601 can be displayed as the lubricant diagnosis result (processing S611). In Figure 13 and Figure 14, the vertical axis shows the additive concentration obtained from the chromaticity, and shows the relationship between the additive concentration and the elapsed time.

In the example of Fig. 12, the additive is TPPT. It is estimated that the chroma will reach 300 in about 50 months. When the chromaticity is 300, the TPPT concentration becomes 50, so it is only necessary to set the previous time point (for example, half a month ago) as the new replacement time (process S610). In processing S613, the processing of the first cycle ends, and in processing S602 of the next cycle, determination processing is performed according to the new replacement time.

In the example of Fig. 13, the additive is ZnDTP, and since the concentration of the new product becomes 50 after about 10 months, it is only necessary to set the previous time point (for example, one month ago) as the new replacement period. In processing S613, the processing of the first cycle ends, and in processing S602 of the next cycle, determination processing is performed according to the new replacement time.

In the example of FIG. 14, the additive is BHT, and the threshold of BHT is 30. Because about 20 months later Since the status of the new product becomes 30, it is only necessary to set the previous (for example, one month ago) as the new replacement period. In processing S613, the processing of the first cycle ends, and in processing S602 of the next cycle, determination processing is performed according to the new replacement time.

Furthermore, for example, after S611, the chromaticity data measured by the optical sensor can be converted into colors and displayed on the display screen. By displaying the deterioration state of the lubricant in color on the display screen in this way, the operator can visually recognize the deterioration state of the lubricant. This, for example, helps the operator to roughly grasp the deterioration state of the lubricating oil when visually checking the state of the lubricating oil on site.

Fig. 15 shows an example of using an optical sensor to detect abrasion powder in the lubricating oil, and Fig. 16 shows an example of using an optical sensor to detect water mixed into the lubricating oil. The chromaticity (△E) is shown on the vertical axis, and the number of months passed on the horizontal axis. As can be seen from these graphs and Fig. 8, unlike the monotonous decrease of ΔE such as the deterioration of additives, the abrasion powder or water mixing shows a rapid change of ΔE. That is, if ΔE deviates from a monotonous decrease, the abrasion powder or water mixing thereafter increases rapidly. Therefore, when the deviation of △E decreases from monotony, the early replacement of lubricating oil is studied. Therefore, in Example 2, both the deterioration and the contamination of the additives of the lubricating oil can be measured for predictive diagnosis of the lubricating oil. In addition, when the deviation of △E decreases monotonically, the output of other sensors is also effective for predictive diagnosis of the sudden increase in abrasive powder or water mixing.

As mentioned above, the consumption rate of additives in lubricating oil can be known by using the result of additive concentration measurement, and the life of lubricating oil can be detected early. Therefore, with proper lubricant replacement and other maintenance, the abnormality of the wind turbine can be prevented before it occurs. In addition, the lubricating oil replacement cycle can also be optimized. In addition, the concentration of additives can be measured by a simple method. If the optical sensor is installed in the machine In the cabin, it is also possible to monitor the deterioration of additives in lubricating oil from a distance online.

Furthermore, in Embodiment 1, based on the chromaticity measured by the optical sensor, the prognostic diagnosis of pollution caused by abrasion powder or the prognostic diagnosis of water mixing can also be performed online.

In addition, the lubricating oil replacement cycle can also be optimized. In addition, the concentration of additives can be measured by a simple method. If an optical sensor is installed in the engine room, the deterioration of additives in lubricating oil can also be monitored remotely online.

[Example 2]

(Pregnant diagnosis and maintenance report of multiple sensors)

Fig. 17 is a diagram showing the relationship between the wind turbine operating time on the horizontal axis and the soundness of the speed increaser 33 on the vertical axis.

The windmill operation time T is from t=0 to t=1 (t=0~1), and maintains the state that there is no abnormality in appearance and the soundness of the speed increaser is high. After that, when the windmill operation time exceeds t=1, the wear of the gearbox starts (state A). It is better to replace the lubricating oil before the time when the wear of the speed increaser starts.

When the windmill operation time is t=1~2, confirm the start of the wear of the speed increaser (state A), and vibrate when t=2~3 (state B), and generate noise when t=3~4 (State C), heat generation state (state D) where heat is generated at t=4~5, smoke is confirmed at t=5-6 (state E), and the speed increaser occurs at t=6 when the windmill is running Failure (state F).

As shown in Fig. 17, although the soundness of the windmill changes from the state A without abnormality to the fault state F according to the operation time of the windmill, the types of sensors used to grasp each state are different. In order to coordinate with each state of the speed increaser, in order to implement appropriate countermeasures to the maintenance staff, it is necessary to appropriately select the type of sensor that can grasp each state of the speed increaser.

As shown in Figure 17, the optical sensor (chromaticity sensor), viscosity sensor, dielectric constant sensor, density sensor, conductivity sensor, etc. can pass the operating time of the windmill ( t=0~6) Set the sensor for the overall control of the speed increaser's state as the first group, set the particle counter, iron powder sensor, etc. to the range of the windmill's operating time (t=1~6) The sensor that controls the state of the speed increaser is set to the second group. The acceleration sensor, acoustic emission (AE) sensor, temperature sensor, smoke sensor, etc. can be used in the operation time of the windmill ( The range of t=2~6) controls the state of the speed increaser as the third group.

FIG. 18 is a diagram showing the maintenance response to the state of the speed increaser corresponding to the sensors of the first group to the third group. In the example of FIG. 18, it shows that the optical sensor (chromaticity) is selected as the sensor of the first group, the particle counter is selected as the sensor of the second group, and the acceleration sensor is selected as the third group. Examples of the situation of the sensor group. In the first to third groups, the threshold of the sensor value is set in advance according to the abnormality of the speed increaser. The threshold can be set by the sensor to various values such as the attention level for detecting abnormal signs by the sensor and the warning level for confirming the abnormality. For example, the optical sensor (chromaticity sensor) belonging to the first group sets the value of the chromaticity ΔE corresponding to the concentration of the lubricant additive as two thresholds of attention level and warning level.

The maintenance response table in Fig. 18 is for example when the level of attention is not detected by the sensor of the first group In case of value, it is used to report "no maintenance". As illustrated by the transition of the soundness of the speed increaser in Figure 17, when an abnormality cannot be detected by the sensor of the first group, the abnormality cannot be detected by the second and third groups. However, there are also cases that are not related to lubricants, etc., due to other reasons that meet the signs of failure of the speed increaser. Therefore, the second and third groups of sensors are also monitored in the state A of Figure 17.

In FIG. 18, the sensors of the first group, for example, when detecting the level of attention, notify the maintenance staff to perform oil analysis. When the sensor of the first group detects the value of the warning level, it will be notified by the way of oil replacement and inspection of the speed increaser, but the content depends on the value of the sensor of other groups . When the attention level is detected in the second group, it will be notified by the way of oil replacement and speed-increasing machine inspection. Furthermore, the example shown in FIG. 18 is an example. When the threshold value of the sensor is set or the level value of the threshold value is detected, the notification to the maintenance staff can be appropriately set as appropriate content.

FIG. 19 is a schematic configuration diagram of the central server 240 and the sensor group 304 of the wind turbine 1.

The central server 240 is equipped with a memory device 2402, which is used to make the chromaticity sensor, viscosity sensor, dielectric constant sensor, density sensor, and conductivity sensor installed in the wind turbine 1 Sensors and other first group sensors, particle counters, iron powder sensors and other second group sensors, acceleration sensors, acoustic emission (AE) sensors, temperature sensors, smoke sensors The sensor information measured by the sensor group 304 of the third group such as sensors corresponds to each sensor, and is used as the sensor information 901 of the first group, the sensor information 902 of the second group, The sensor 903 of the third group is memorized. Each sensor information is stored in correspondence with time information as time series data.

The sensor information 901 in the first group, the sensor information 902 in the second group, and the sensor information 903 in the third group, for each sensor in each group, with a mouse and keyboard The input device 2411 inputs the values of the attention level and the warning level, which are stored in the memory device 2402 in advance.

In the memory device 2402, as the countermeasure determination unit 2407, a state determination program 2404, a need-to-take determination program 2405, and a reporting program 2406 are stored, and various programs are read into the memory 2403 and used by the CPU (Central Processing Unit: central The processing unit) 2401 executes to realize various functions. Here, the function realized by the state discrimination program is called the state discrimination unit 2404, the function realized by the need to adopt discrimination program is called the need discrimination division 2405, and the function realized by the state discrimination program is called the reporting unit. 2406.

Based on the sensor information of the first group to the third group, the state judgment unit 2404 executes the processing of judging the state of the speed increaser. For example, the sensor of the first group executes the judgment of the abnormality of the lubricant Degree of treatment (the first treatment). The adoption necessity judging unit 2405 executes processing for judging the necessity of lubricating oil analysis accompanied by lubricating oil extraction based on the result of the judgment by the state judging unit 2404 (second processing). The report part 2406 is executed when the need to take judgment part 2405 judges that the analysis needs to be accompanied by lubricating oil is sent to other terminals (maintenance company PC, power generation company PC shown in Figures 21 and 22). Treatment (third treatment).

Furthermore, the countermeasure determination unit 2407 of the central server 240 may include a state determination unit 2404, a need-to-take determination unit 2405, and a reporting unit 2406, as well as a change amount calculation unit that calculates the previous value of a certain sensor information The difference with this value is the amount of change; judgment of change level Part, which classifies the level of the change based on the change and the reference value of the change; the abnormal part specific part, which is executed in the second process to determine the need for lubricating oil analysis with lubricating oil, will be based on The sensor information that is the basis for its discrimination is outputted. The sensor’s installation position is abnormal, or a part that has the possibility of abnormality is specified. The difference value calculation unit calculates the sensor information and The difference between the specific value (for example, the initial value of the sensor information); and the abnormal cause specific part, which executes the past lubricant oil based on the sensor information and the relevant lubricant properties of the sensor information The analysis information specifies the treatment of the abnormal cause of the lubricant.

The central server 240 is connected to the wind turbine 1 via the network 230 in a way of mutual data communication, and the time series data of the sensor information stored in the server 210 of the wind turbine 1 is used as the sensing of the first group The sensor information is the first sensor information 901, the sensor information of the second group is the second sensor information 902, and the sensor information of the third group is the third sensor information 903 are stored in the center The memory device 2402 of the server 240.

The memory device 2402 in the central server 240 is used as the sensor information obtained by the sensor group 304, for example, for the optical sensors included in the first group, pre-stored as shown in FIGS. 4 to 6 The relative relationship of the concentration of chromaticity, etc., as information on the properties of lubricants, is memorized for each of the chromaticity obtained by the optical sensor, the temperature of the lubricant, and the acceleration of the speed increaser indicating the state of the rotating machinery There are set thresholds (attention level, warning level). For other sensors, similarly, thresholds such as caution level and warning level are set in advance for the sensor value, and the memory unit 2402 is memorized, so that the state determination unit 2404 is of course used as a criterion for its judgment.

The threshold value is used in the state discriminating unit 2404 to discriminate the degree of abnormality between the lubricant oil and the gearbox 33 At this time, the value obtained by multiplying each threshold value by a specific ratio is used as the abnormality reference value. Specifically, 50% and 80% are used as specific ratios, a value equivalent to 50% of the threshold value is set as the attention level value, and a value equivalent to 80% of the threshold value is set as the warning level.

The state discriminating unit 2404 is used in the lubricating oil or speed-increasing machine when a certain sensor information is 50% or more of the corresponding threshold and less than 80% (in the case of the attention level value or more and the warning level value is not reached) There is no abnormality but the possibility of confirming future abnormalities is high. In order to call attention to the changes of sensor information in the future, it is judged as "Caution" (Caution Judgment), in the case of 80% or more of the threshold (warning level value or more Circumstances) are deemed to be abnormal in the lubricating oil or speed-increasing gear, so it is judged as "abnormal" (abnormality judgment). When it does not reach 50% of the threshold (when the attention level is not reached), it is regarded as unrecognized abnormality. It is "normal" (normal judgment). Each threshold value is set based on the actual performance of the correlation between the past sensor information (lubricant property information) obtained by the windmill and the degree of abnormality of the lubricating oil.

For example, the properties of lubricating oil based on the chromaticity of the optical sensor in the first group and the value of the iron powder sensor in the second group indicate both the abnormality of the lubricant and the abnormality of the speed increaser. In the case of other terminals, notify other terminals to check the parts of the speed increaser, and when it indicates that the lubricant is abnormal and the speed increaser is normal, output the lubricant analysis accompanied by the use of the lubricant or the replacement of the lubricant to the other Terminal (refer to Figure 18).

Furthermore, one threshold value is set for each sensor information (lubricant properties, acceleration information), and the two abnormality reference values (attention level value, warning level value) determined from the threshold value are used to determine the level of lubricant The degree of abnormality, but it is also possible to set more than 3 abnormal degree reference values and The level is more detailed. Also, instead of determining a plurality of abnormality reference values through a threshold value, a plurality of abnormality reference values may be directly determined without using a threshold to classify the degree of abnormality.

In addition, if a plurality of abnormality reference values are defined by determining a plurality of ratios for one threshold value in advance as described above, it is possible to easily change each abnormality reference value by changing only the numerical value of the ratio. Most of the importance of windmills varies from user to user. If the abnormality reference value can be easily changed in this way, the wind turbine can be easily managed according to the user's preferences.

Next, the processing of the countermeasure determination unit 2407 including the state determination unit 2404, the need for action determination unit 2405, and the reporting unit 2406 will be described in detail using FIG. 20. Furthermore, in FIG. 20, in order to simplify the description, the first group and the third group are taken as examples to illustrate the types of sensors, but the first group and the second group, or the first to third groups may also be used. Take all groups of the group as an example. Furthermore, when all of the first to third groups are used, the state determination unit 2404 sequentially makes the following determinations: use the value of the sensor information of the first group, and use the second group The determination of the value of the sensor information of the third group is used for the determination of the value of the sensor information.

First, input the optical sensor (sensor 1) as the sensor of the first group and the acceleration sensor (sensor 1) as the sensor of the third group to the state determination unit 2404. Information (S2002) of the information of the device 3).

Next, the state determination unit 2404 reads the pre-stored attention level value and warning level value of the optical sensor (sensor 1) and acceleration sensor (sensor 3) from the memory device 2402 (S2003).

The state judging unit 2404 judges whether the value of the optical sensor is below the attention level read from the memory device 2402 (S2004). When it is below the attention level, it performs a normal judgment (S2005) and reports it from the reporting unit 2406 Judgment result (S2006).

When the value of the optical sensor in step S2004 is greater than the value of the attention level, proceed to step S2007, and determine whether the value of the optical sensor is above the attention level and does not reach the warning level (S2007).

When the value of the optical sensor is above the caution level and does not reach the warning level, the process proceeds to step S2008, and the state determination unit 2404 makes a caution judgment for the optical sensor (S2008).

Next, the state determination unit 2404 determines whether the value of the acceleration sensor (sensor 3) has not reached the attention level (S2009). When the attention level is not reached, the acceleration sensor (sensor 3) is judged normally (S2010). In this case, the value of the optical sensor exceeds the attention level but does not reach the attention level in the acceleration sensor. The status determination unit 2404 receives the information from the collection necessity determination unit 2405 to determine the oil analysis (S2011), and sends it to the reporting unit 2406.

When the value of the acceleration sensor in step S2009 is higher than the attention level, proceed to step S2012, and perform attention determination for the acceleration sensor (S2012). The state discriminating unit 2404 receives the attention determination of the need to determine whether to take it or not. The discriminating unit 2405 performs oil analysis and speed-increasing machine inspection Determine (S2013), and send to the reporting unit 2406.

In step S2007, when the value of the optical sensor is above the attention level and does not reach the warning level, that is, when the value of the sensor exceeds the warning value, proceed to step S2014, and the state determination unit 2404 relates to the optical sensor The device performs a warning judgment (S2014).

Secondly, it is determined whether the value of the acceleration sensor has not reached the attention level (S2015). When the value of the acceleration sensor has not reached the attention level, a normal determination is performed for the acceleration sensor (S2016). This state means that the value of the optical sensor reaches the warning level, but the acceleration sensor is in a normal state. Based on this state, the necessity determination unit 2405 performs an oil replacement determination (S2017).

Moreover, in step S2015, when the value of the acceleration sensor is above the attention level, a attention determination is performed for the acceleration sensor (S2018). The determination of oil replacement and speed-increasing gear inspection is carried out by the necessity determination unit 2405 (S2019), and sent to the reporting unit 2406.

If the reporting unit 2406 receives the result of the determination made by the selection necessity determination unit 2405 in step S2005, step S2011, step S2017, and step S2019, it notifies the maintenance staff of the content based on the determination result (S2006).

When the reporting section 2406 adopts the need or not judgment section 2405 judges the “necessary” situation that is accompanied by the lubricating oil analysis, it is for the lubricating oil analysis company to collect the lubricating oil as quickly as possible and implement detailed lubricating oil analysis , By sending its intention to related parties such as the computer 2101 of the power generation company or the computer 2102 of the maintenance company as shown in Fig. 21 or Fig. 22 for notification.

Furthermore, it can also be sent to lubricant analysis companies, lubricant replacement companies, and parts companies. On the other hand, when it is judged as "unnecessary", the diagnosis result of its intention is sent.

Figure 21 is a schematic diagram of the diagnostic system of the speed increaser of the wind turbine. The diagnostic system shown in the figure has: a computer (edge PC) 210 mounted on the windmill, a central server 240 (server PC) that processes sensor data through the windmill area, and a computer used by the maintenance company of the windmill (maintenance company) PC) 2102; and computer 2101 used by power generation companies. In this example, the power generation company commissioned the lubricant analysis, lubricant replacement, and parts replacement to be accompanied by the lubricant. As shown in Figure 22, the maintenance company also entrusts lubricant analysis, lubricant replacement, parts replacement and other response forms accompanied by lubricants. In addition, there are cases where power generation companies themselves implement maintenance.

Furthermore, each computer has: an arithmetic processing device (such as a CPU) as an arithmetic mechanism for executing various programs, and a memory device (such as a ROM (Read-Only ROM) as a memory mechanism for storing various data based on the program). Memory: read-only memory), RAM (Random Access Memory: random access memory), flash memory and other semiconductor memory, or hard disk drive and other magnetic memory devices), as well as processing devices and memory The input and output operation processing device for the input and output control of the data and instructions of the device. Furthermore, when it is necessary to provide information to a person mainly an operator of a computer, a display device (for example, a liquid crystal monitor, etc.) for displaying the processing result of the arithmetic processing device, etc. may be provided. In addition, as the computers constituting the diagnostic system, not only fixed terminals but also portable terminals (mobile phones, smart phones, tablet terminals, etc.) can be used.

According to the second embodiment, by using a plurality of sensors with different characteristics, it is possible to implement maintenance in the state of a speed increaser. Therefore, with proper maintenance such as replacement of lubricating oil, the abnormality of the wind turbine can be prevented in advance. Moreover, in addition to optical sensors, it can also be based on the information of acceleration sensors and lubricating oil temperature sensors whose values change rapidly based on the information of the sensors. Appropriate attention can be invoked, lubricating oil analysis, and lubricating oil replacement. Maintenance such as replacement of parts of the speed-increasing gear and diagnosis of the speed-increasing gear can prevent abnormalities in the wind turbine.

[Example 3]

(Revision of life expectancy)

In Example 3, an example of using the data obtained from the sensor to correct the life estimation of the lubricating oil is shown. In Embodiment 1, the premise is that the operating conditions of the wind turbine 1 are fixed. However, in reality, the operating status of the wind turbine 1 is not fixed, and the status changes according to various reasons.

For example, as man-made changes in operating conditions, there are stopping periods of devices for inspection, or operating adjustments for power generation adjustment. These variable parameters can be obtained as operating parameters of the wind turbine 1.

As illustrated in Figures 9 and 10, various sensors can be installed on the wind turbine. The sensor data from the sensor group 304 is sent to the aggregation server 220 or the central server 240 via the server 210. Moreover, the operating parameters of the wind turbine 1 can be obtained from the server 210, the aggregation server 220, or the central server 240 that performs the control.

Using Figure 11 again, explain the monitoring method of the lubricating oil that reflects the operating conditions. The basic processing is the same as that of the first embodiment, but in the diagnosis processing based on sensor data (S604), the sensor data or operating parameters are memorized in time series in advance and used in the replacement time estimation and update processing (S610).

In order to simplify the description, in this example, the control parameter of the shaft rotation speed R (rpm) is used as the operating parameter representing the operating status of the mechanism for supplying lubricating oil to the bearing portion. The sensor data or operating parameters are not limited to this, and various other types can be used. In the third embodiment, the data of various sensors are collected to the central server 240 and processed together here, but it is not limited to this.

In the central server 240, in the replacement time estimation and update process (S610), the additive concentration measurement result input in the process S609 and the control parameter of the rotational speed R of the shaft stored in the process S604 are obtained. The data and time data are stored in the memory device in a time series.

As a simple example, for the decrease in the concentration of the extreme pressure agent, that is, the consumption of the extreme pressure agent, the shaft speed R (rpm) is related to it. Under this premise, the concentration C(t) of the extreme pressure agent can be grasped as a function of the time t and the rotation speed R of the shaft, so it becomes f(t, R)=C(t).

FIG. 23 is a graph showing an example of displaying a future value 1002 based on the data 1001 of the additive temperature of the wind turbine 1 in the past year. The past data 1003 for 1 year is the actual measured value. Future data 1004A and 1004B are predicted values.

In Figure 23(a), the future operating conditions will not change, and the speed R will always be fixed. In this case, the future value (prediction data) 1002 of the extreme pressure agent concentration shifts in the same way as the data 1001 of the past year. In this case, when t1 arrives, it is predicted that the extreme pressure agent will reach the concentration limit.

In Fig. 23(b), the operating conditions change in the future, and the rotation speed R after one year becomes twice that of the past one year. Here, if the consumption rate of the extreme pressure agent is proportional to the rotation speed R, the prediction data of the extreme pressure agent concentration does not change in the same way as in the past year, but as shown in 1004B of Figure 23(b), the reduction ratio changes Big. In this case, when t2, which is shorter than t1, arrives, the extreme pressure agent concentration limit is predicted.

In the above, the shaft speed R is used as the operating parameter to correct the estimated consumption rate of the additive, but sensor data can also be used. For example, it is believed that the temperature T (°C) of lubricating oil is correlated with the decrease in the concentration of extreme pressure agents. Under this premise, the concentration C(t) of the extreme pressure agent can be grasped as a function of the time t and the temperature T, so the estimated consumption rate of the extreme pressure agent can be corrected in the same way as the shaft rotation speed R.

As shown in Fig. 23, since the predicted data reflects the operating parameters or sensor data representing the operating conditions of the wind turbine, it is possible to more accurately determine the point when the extreme pressure agent concentration and other parameters representing the lubricant quality exceed the threshold.

For parameters that indicate operating conditions, such as operating time or power generation target value, which can be controlled artificially, future data can be prepared according to operating schedules.

In addition, for those that cannot be controlled manually, such as weather or temperature, the past performance data can be used to predict future data.

FIG. 24 is a block diagram showing a configuration example of the central server 240 of the third embodiment. Regarding the central server 240, the present structure is the same as that shown in FIG. The input and output device 2403 includes a network interface for data exchange with the wind turbine 1 or its server 210, the collection server 220, or an additive quantitative analysis system (not shown) such as a liquid chromatography mass spectrometer via the network 230.

Various operating parameters or sensor data are input to the central server 240 from the wind turbine 1 and its sensor group 304 directly or via the server 210 or the aggregation server 220. These data are stored in the memory device 2402 as time-series operating parameter data 2411 or as time-series sensor data 2412. Furthermore, in the third embodiment, as one of the sensor groups 304, for example, an optical sensor equipped with a visible light source and a light receiving element and measuring the chromaticity of lubricating oil is used.

From the chromaticity of the lubricating oil obtained by the optical sensor, use the correlation between the chromaticity (△E) and the additive concentration as shown in Figure 4 to Figure 6 to quantify the additive concentration in the lubricant.

For example, if the correlation between chromaticity (△E) and additive concentration as shown in Figure 6 is used, it will be like zinc dialkyldithiophosphate (ZnDTP: Zinc Dialkyldithiophosphate, ZDDP (ZnDTP) and phenol derivatives (2, 6-Di-tertiary-butyl-p-cresol (BHT) is a quantitative additive with different functions, and the results can be used in diagnosis to make a more accurate diagnosis.

The processing device (CPU) 2401 uses the additive concentration data 903 stored in the memory device 2402, and uses the operating parameter data 2411 and the sensor data 902 as needed to predict the consumption rate of the additive concentration and output it to the output device. In the example shown in Fig. 23, the estimated consumption speed of extreme pressure agent etc. is corrected by operating parameters indicating the operating conditions, but the horizontal axis may be changed to the elapsed time, and the total rotational speed of the generator or the windmill operating information may be used The total power generation is corrected for the consumption rate.

According to Embodiment 3, by reflecting the operating parameters or sensor data indicating the operating conditions, it is possible to more accurately determine the point at which parameters indicating the quality of lubricating oil, such as the concentration of the extreme pressure agent, exceed the threshold.

As mentioned above, in Example 3, the concentration of additives is measured for proper monitoring of lubricating oil used in important rotating machinery (bearings) or speed-increasing gears such as the main shaft, generator, steering, and pitch of the wind turbine. In addition, a sensor is installed near the oil discharge port of the rotating machine provided in the automatic lubricating oil supply mechanism, and constant monitoring (online monitoring) is performed. Moreover, by monitoring the parameters of the operating conditions of the wind turbine, more accurate predictive diagnosis can be performed. As a result, the replacement period of lubricating oil can be predicted early. As a result, the stop time of the wind turbine is shortened, so the maintenance cost is reduced and the power generation is increased.

In addition, the present invention is not limited to the above-mentioned embodiments, and includes various modifications. For example, the above-mentioned embodiments are explained in detail in order to facilitate the understanding of the present invention, and are not necessarily limited to those having all the explanations. Furthermore, a part of the configuration of a certain embodiment may be replaced with a configuration of other embodiments, and the configuration of a certain embodiment may be added with the configuration of other embodiments. And to each A part of the configuration of the embodiment can be added, deleted, or replaced with other configurations.

For example, in the above-mentioned embodiment, a wind generator is taken as an example of a rotating machine, but the present invention can also be applied to nuclear power generators, thermal power generators, gear motors, railway vehicle wheel flanges, compressors, transformers, Deterioration diagnosis of lubricant additives in rotating machinery such as movable equipment, machinery, large pump machinery, etc.

S601~S606‧‧‧Step

S609~S613‧‧‧Step

Claims (15)

A diagnostic system for a wind turbine, characterized in that it collects information from a wind turbine with a speed increaser and a generator, and judges the abnormality of the wind turbine based on the collected information, and includes: a sensor , To monitor the state of the wind turbine, detect the properties of more than one lubricating oil supplied to the speed increaser, and output the abnormality of the lubricant and the abnormality of the speed increaser as sensor information ； Memory section, which memorizes the reference value determined for each of the above-mentioned sensor information; and processing means, which executes the first process, the second process, and the third process, the first process is based on each sensor The reference value determined by the sensor information and the sensor information determine the abnormality of the lubricating oil and the speed increaser. The second processing is based on the abnormality of the lubricating oil and the increase determined by the first processing. For the abnormality of the speed engine, it is judged whether the lubricating oil analysis accompanied by the above-mentioned lubricating oil is required, whether the lubricating oil needs to be replaced, and whether the speed-increasing gear parts needs to be replaced, the third processing is to output the determination result of the second processing to Other terminals; and the sensor includes an optical sensor and outputs the chromaticity of the lubricating oil as sensor information; and the chromaticity is a color space composed of a combination of R, G, and B The calculated color difference is expressed; when all the values of R, G, and B of the above optical sensor are lower than a specific threshold, it is judged that there is an abnormal pollution; when using the concentration and chromaticity of the additives contained in the above lubricant Related by optical When the concentration of the additive obtained by the chromaticity measured by the sensor is lower than a specific threshold, it is judged that there is an abnormality in the deterioration of the additive. The wind turbine diagnostic system of claim 1, wherein the lubricating oil contains one or more additives selected from antioxidants, antiwear agents, extreme pressure agents, rust inhibitors, oily enhancers, and defoamers. For example, the wind turbine diagnosis system of claim 1, wherein the processing device replaces the lubricant with the increase when the sensor information indicates both the abnormality of the lubricant and the abnormality of the speed increaser. Speed engine parts inspection output to the above-mentioned other terminals; and when the above-mentioned sensor information indicates that the above-mentioned lubricating oil is abnormal and the above-mentioned speed-up gear is normal, it will be accompanied by the analysis of the above-mentioned lubricating oil, or the above-mentioned lubricating oil. Replace the output to the other terminals mentioned above. For example, the wind turbine diagnostic system of claim 2, wherein the processing device replaces the lubricant with the increase when the sensor information indicates both the abnormality of the lubricant and the abnormality of the speed increaser. Speed engine parts inspection output to the above-mentioned other terminals; and when the above-mentioned sensor information indicates that the above-mentioned lubricating oil is abnormal and the above-mentioned speed-up gear is normal, it will be accompanied by the analysis of the above-mentioned lubricating oil, or the above-mentioned lubricating oil. Replace the output to the other terminals mentioned above. Such as the wind turbine diagnosis system of claim 2, wherein the judgment of the degree of abnormality in the above-mentioned first processing is based on the cumulative power generation and cumulative power generation time of the above-mentioned wind power generator and other operating parameters for diagnosis. Such as the wind turbine diagnostic system of claim 2, wherein the above-mentioned reference value is a predetermined threshold value or a predetermined amount of change of the above-mentioned sensor information per unit time. Such as the wind turbine diagnostic system of claim 1, wherein the sensor system further includes a dielectric constant sensor, a conductivity sensor, a viscosity sensor, a pollution sensor, an iron powder sensor, Moisture sensor, temperature sensor in the sensor. A wind power generator diagnostic device, characterized by having: a receiving part that receives the first data sent from the sensor of the first group for measuring the state of the lubricating oil supplied to the rotating machinery of the wind power generator, and receives the first data from the installation The third data sent by the sensor of the third group in the speed-increasing gear of the above-mentioned wind turbine and measuring the acceleration of the speed-increasing machine; the memory device, which memorizes the sensor corresponding to the first group and the aforementioned The reference value of the sensor of the third group; and the countermeasure determination unit, which executes the first process of determining the abnormality of the lubricating oil and the speed increaser based on the first data, the third data, and the reference value , Perform lubricating oil analysis based on the degree of abnormality of the lubricating oil judged by the first process and the abnormality of the speed-increasing machine to determine whether the lubricating oil needs to be accompanied by the use of lubricating oil The second process of replacement, whether it is necessary to replace the parts of the speed increaser, and output the judgment result of the second process to other terminals, thereby determining the countermeasures for maintaining the wind turbine; and the feeling of the first group The sensor includes an optical sensor and outputs the chromaticity of the above-mentioned lubricating oil as sensor information; and the above-mentioned chromaticity is expressed by the color difference calculated in the color space formed by the combination of R, G, and B; When all the values of R, G, and B of the above optical sensor are below a specific threshold, it is judged that there is a pollution abnormality; when using the correlation between the concentration of the additive contained in the above lubricant and the chromaticity, by optical When the concentration of the additive obtained by the chromaticity measured by the sensor is lower than a specific threshold, it is judged that there is an abnormality in the deterioration of the additive. A method for diagnosing a wind power generator, characterized in that it collects information from a wind power generator having a speed increaser and a generator, and judges the abnormality of the wind power generator based on the collected information, and in order to monitor the wind power generator Detect the properties of more than one lubricating oil supplied to the above-mentioned speed-increasing gear, output the abnormality of the lubricant and the above-mentioned speed-increasing gear as sensor information, and memorize each of the above-mentioned sensing The reference value determined by the sensor information is executed based on the reference value determined for each sensor information and the sensor information to determine the abnormality of the lubricating oil and the speed increaser. The abnormal degree of the above-mentioned lubricant and the above-mentioned speed-increasing machine judged by the first The abnormal determination requires the second processing of lubricating oil analysis accompanied by the above-mentioned lubricating oil, whether it is necessary to replace the lubricating oil, and whether it is necessary to replace the parts of the speed increaser, and execute the judgment result of the second processing to output to other terminals The third process; and the sensor includes an optical sensor and outputs the chromaticity of the lubricating oil as sensor information; and the chromaticity is a color composed of a combination of R, G, and B Chromatic aberration of spatial calculation; when all the values of R, G, B of the above optical sensor are lower than a specific threshold, it is judged that there is an abnormal pollution; when using the concentration and chromaticity of additives contained in the above lubricant In relation to this, when the additive concentration obtained by the chromaticity measured by the optical sensor is lower than a specific threshold value, it is judged that there is an abnormality in the degradation degree of the additive. The wind power generator diagnosis method of claim 9, wherein the above-mentioned lubricating oil contains at least one additive selected from the group consisting of antioxidants, antiwear agents, extreme pressure agents, rust inhibitors, oiliness enhancers, and defoamers. For example, the wind turbine diagnosis method of claim 9, wherein when the sensor information indicates both the abnormality of the lubricant and the abnormality of the speed increaser, replace the lubricant with the speed increaser parts The inspection is output to the above-mentioned other terminals, and when the above-mentioned sensor information indicates that the above-mentioned lubricating oil is abnormal and the above-mentioned speed-increasing gear is normal, output the lubricating oil analysis accompanied by the above-mentioned lubricating oil or the replacement of the above-mentioned lubricating oil The other terminals mentioned above. For example, the wind turbine diagnosis method of claim 10, wherein when the sensor information indicates both the abnormality of the above-mentioned lubricating oil and the abnormality of the above-mentioned speed-increasing gear, the replacement of the above-mentioned lubricant and the parts of the speed-increasing gear The inspection is output to the above-mentioned other terminals, and when the above-mentioned sensor information indicates that the above-mentioned lubricating oil is abnormal and the above-mentioned speed-increasing gear is normal, output the lubricating oil analysis accompanied by the above-mentioned lubricating oil or the replacement of the above-mentioned lubricating oil The other terminals mentioned above. Such as the wind turbine diagnosis method of claim 10, wherein the judgment of the abnormality in the first processing is based on the cumulative power generation of the wind power generator, cumulative power generation time and other operating parameters for diagnosis. For example, the wind turbine diagnosis method of claim 10, wherein the reference value is a predetermined threshold value or a predetermined change amount of the sensor information per unit time. According to claim 9, the wind turbine diagnostic method, wherein the sensor system further comprises a dielectric constant sensor, a conductivity sensor, a viscosity sensor, a pollution sensor, an iron powder sensor, The sensor of moisture sensor and temperature sensor.

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