JP3708041B2 - Vibration diagnosis method and apparatus for rotating machine - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a method and apparatus for diagnosing abnormalities in a rotating machine such as a power generation turbine or a generator.
[0002]
[Prior art]
Thermal power plants are equipped with a large number of rotating machines, including a main turbine / generator with a heavy rotor of several hundred tons rotating at high speed, and a large number of heat exchangers corresponding to a wide range of temperatures and pressure levels. And various hydraulic equipment and control equipment are installed.
[0003]
In such a rotating machine, especially in a high-speed rotating machine, many of the abnormalities that occur during operation often appear as changes in the vibration phenomenon, and there is a risk of sudden progress and a serious accident. Therefore, it is equipped with an operation monitoring device and a protection / control device for abnormal conditions.
[0004]
In particular, in recent years, diversified and efficient operation of electric power demands more frequent operations such as frequent start / stop and sudden load fluctuations. There has been a strong demand for early detection of signs of equipment abnormalities, analysis of the causes, and quick repair of operational restrictions.
[0005]
For this reason, various rotating machine abnormality diagnosis apparatuses and equipment diagnosis apparatuses have been proposed. For example, regarding a shaft vibration diagnosis of a rotating machine, Japanese Patent No. 2850917 discloses a “rotating machine abnormality diagnosis method”. .
[0006]
FIG. 6 shows an example in which a conventional vibration diagnostic apparatus is applied to a turbine / generator unit of a thermal power generation rotating machine.
[0007]
In FIG. 1, a turbine / generator unit 1 includes a high / intermediate pressure turbine 2, a low pressure turbine 3a, 3b, and a generator 4, and bearings 5a to 5n supporting the rotors thereof are vibrations for detecting shaft vibrations. Detectors 6a to 6n are attached. Further, in the turbine / generator unit 1, a tachometer 7 for detecting the rotational speed of the rotor, and a phase angle reference pulse for transmitting a pulse serving as a reference for detecting a vibration phase angle at each of the bearing portions 5a to 5n. Various sensors 9 for detecting the operating state of the rotating machine such as the transmitter 8 and the generator output (load), steam temperature, bearing temperature and the like are installed.
[0008]
Signals from the tachometer 7 and various sensor groups 9 are sent to a control computer 10 that monitors and controls the operation of the rotating machine, and signals from the vibration detectors 6a to 6n and the phase angle reference pulse transmitter 8 are It is sent to the control computer 10 via the vibration monitoring device 11 to assist the control operation of the operator.
[0009]
That is, the vibration monitoring device 11 determines the vibration state in each of the bearing portions 5a to 5n based on the signals from the vibration detectors 6a to 6n and the phase angle reference pulse transmitter 8, and determines that the vibration level is equal to or higher than a specified signal level. Then, an alarm signal or a turbine trip signal is transmitted to the control computer 10.
[0010]
On the other hand, the rotating machine vibration diagnosis device 12 including a computer includes an abnormality detection processing unit 13, a plant state quantity processing unit 14, a diagnosis processing unit 15, and a display processing unit 16. The abnormality detection processing unit 13 includes a vibration monitoring device. 11 is input.
[0011]
The abnormality detection processing unit 13 detects a sign of an abnormal phenomenon from a tendency such as a vibration amplitude value, an amplitude increase rate, a frequency component, or a phase change, and starts diagnosis of the cause when it is determined as an abnormal sign. Therefore, the detection information is transmitted to the diagnosis processing unit 15.
[0012]
On the other hand, operation state information other than vibration information, for example, information such as the number of revolutions of the turbine / generator and the load factor, is input to the plant state quantity processing unit 14.
[0013]
The output of the plant state quantity processing unit 14 is sent to the abnormality detection processing unit 13 and used as information at the time of abnormality detection, and is also sent to the diagnosis processing unit 15 as rotary machine information when diagnosing the cause. The monitoring status and the diagnostic result are displayed on the display processing unit 16.
[0014]
The diagnosis processing unit 15 stores a vibration causal matrix for specifying the cause of vibration in the knowledge base provided therein. There are many types and contents of this vibration causal matrix.
[0015]
FIG. 7 illustrates a part of a vibration causal matrix showing the causal relationship between vibration causes and phenomena in, for example, a rotating machine.
[0016]
The diagnosis processing unit 15 uses these vibration causal matrices to estimate the cause of the abnormality based on the abnormality detection information and the rotating machine information.
[0017]
The output of the diagnostic processing unit 15 is sent to the display processing unit 16 and used as direct support and guide information for the operator and the operator.
[0018]
[Problems to be solved by the invention]
By the way, in order to make a diagnosis using on-line signals and data of a rotating machine, such as a shaft vibration of a rotating machine and a performance deterioration diagnosis of the rotating machine, real-time performance is required, and a sudden abnormal phenomenon can be developed. The characteristic shaft vibration phenomenon needs to be determined in accordance with the operating state and abnormal state of the rotating machine.
[0019]
However, in the conventional vibration diagnosis device for a rotating machine, even if the cause of abnormal vibration is diagnosed by the vibration causal matrix for cause diagnosis, it is almost impossible to narrow down to one cause, and a plurality of displays are displayed on the display unit. In many cases, the factor only stops being displayed. In particular, when trying to catch abnormal signs as early as possible, the threshold for judging vibration changes as abnormal will be lowered, and as a result, the displayed factors will also be related to the location and size of the phenomenon. Because it has not been quantitatively verified, operators, operators, or remote monitoring service engineers have low confidence in the diagnostic results, and further investigation is needed to identify the cause from the diagnostic results and take countermeasures. And verification by vibration analysis had to be performed, which required a lot of time.
[0020]
The present invention has been made in view of the above circumstances, and is capable of improving the reliability of diagnosis results to an operator, an operator, or an engineer of a remote monitoring service. An object of the present invention is to provide a machine vibration diagnosis method and apparatus.
[0021]
[Means for Solving the Problems]
In order to achieve the above object, the present invention diagnoses a rotating machine by the following method and apparatus.
[0022]
The invention corresponding to claim 1 takes in various data obtained from a rotating machine and estimates a cause of vibration from characteristics of the vibration phenomenon generated in the rotating machine. The cause of vibration is estimated based on a vibration causal matrix that associates a feature with a plurality of causes, and the phenomenon of the estimated vibration cause is analyzed using a vibration analysis model built in a memory. Evaluate diagnosis results for vibration phenomena from cause estimation results.
[0023]
According to a second aspect of the present invention, in the vibration diagnosis method for a rotary machine according to the first aspect of the present invention, in estimating the cause of the vibration, a state change caused by reassembly at the time of overhaul and inspection by regular inspection is performed in advance. The cause of vibration is estimated by increasing the probability of occurrence of the vibration cause by weighting added to the vibration cause component on the vibration causal matrix where vibration may occur.
[0024]
According to a third aspect of the present invention, in the vibration diagnosis method for a rotating machine according to the first aspect of the present invention, when a plurality of vibration causes are estimated by the vibration causal matrix diagnosis process, the diagnosis result is evaluated. In order to narrow down the cause, the items to be investigated in detail and the investigation method are presented.
[0025]
According to a fourth aspect of the present invention, there is provided a vibration diagnosis method for a rotary machine according to the first aspect of the present invention, wherein a vibration value obtained from a vibration simulation result using a vibration analysis model and an initial assembly or regular inspection in advance. The normal / abnormal evaluation result is displayed by comparing the measurement data of the gap between the rotating part and the stationary part at the bearing part and the seal part measured at the time of the subsequent assembly.
[0026]
The invention corresponding to claim 5 captures various data obtained from the rotating machine, and relates the characteristics of a plurality of vibration phenomena generated in the rotating machine to a plurality of causes, and the vibration causal accumulated in the knowledge base. A diagnostic processing means for estimating the cause of vibration from the matrix, a memory in which a vibration analysis model corresponding to the diagnosis result is stored in advance, a vibration cause estimated by the diagnostic processing means is taken in, and an analysis model that matches this vibration cause Vibration analysis verification means for taking out and analyzing the data from the memory, and analysis result evaluation means for evaluating the occurrence of the vibration phenomenon by taking the analysis verification result by the vibration analysis verification means and the diagnosis result by the diagnosis processing means.
[0027]
According to a sixth aspect of the present invention, in the vibration diagnosis device for a rotary machine according to the fifth aspect of the present invention, the diagnostic result evaluation means includes a vibration value obtained from a simulation result of vibration using a vibration analysis model, and Compare the measurement data of the gap between the rotating part and the stationary part at the bearing part and seal part measured at the initial assembly or assembly after the regular inspection in advance to evaluate whether it is normal or abnormal, and display the evaluation result To display.
[0028]
According to a seventh aspect of the present invention, in the vibration diagnosis device for a rotary machine according to the fifth aspect of the present invention, the diagnosis processing unit generates vibrations in advance due to a state change during reassembling during disassembly inspection by regular inspection. A weight is added to the vibration cause component on the vibration cause-and-effect matrix that may be generated, and this weighting is used to increase and estimate the occurrence probability of the vibration cause.
[0029]
The invention corresponding to claim 8 is the vibration diagnosis device for a rotary machine according to claim 5, wherein the diagnosis result evaluation means includes a plurality of vibration causes, items to be investigated corresponding to the respective vibration causes, and an investigation. A necessary condition table in which a method is written, and when a plurality of diagnosis causes processed by the diagnosis processing unit are estimated, items to be investigated necessary for narrowing down the cause from the necessary condition table and an investigation method thereof It is specified and displayed on the display means.
[0030]
DETAILED DESCRIPTION OF THE INVENTION
A first embodiment of a vibration diagnosis method for a rotating machine according to the present invention will be described below with reference to FIG.
[0031]
In FIG. 1, a turbine / generator unit 1 includes a high / intermediate pressure turbine 2, a low pressure turbine 3a, 3b, and a generator 4, and bearings 5a to 5n that support the rotors thereof are vibrations that detect shaft vibrations. Detectors 6a to 6n are attached. Further, in the turbine / generator unit 1, a tachometer 7 for detecting the rotational speed of the rotor, and a phase angle reference pulse for transmitting a pulse serving as a reference for detecting a vibration phase angle at each of the bearing portions 5a to 5n. Various sensors 9 for detecting the operating state of the rotating machine such as the transmitter 8 and the generator output (load), steam temperature, bearing temperature and the like are installed.
[0032]
Signals from the tachometer 7 and various sensor groups 9 are sent to a control computer 10 that monitors and controls the operation of the rotating machine, and signals from the vibration detectors 6a to 6n and the phase angle reference pulse transmitter 8 are It is sent to the control computer 10 via the vibration monitoring device 11 to assist the control operation of the operator.
[0033]
That is, the vibration monitoring device 11 determines the vibration state in each of the bearing portions 5a to 5n based on the signals from the vibration detectors 6a to 6n and the phase angle reference pulse transmitter 8, and determines that the vibration level is equal to or higher than a specified signal level. Then, an alarm signal or a turbine trip signal is transmitted to the control computer 10.
[0034]
On the other hand, the rotating machine vibration diagnosis device 12 including a computer includes an abnormality detection processing unit 13, a plant state quantity processing unit 14, a diagnosis processing unit 15, a display processing unit 16, a vibration analysis verification unit 17, a vibration analysis model file 18, and a diagnosis result. The evaluation part 19 and the display process part 16 are comprised.
[0035]
The abnormality detection processing unit 13 takes in a signal from the vibration monitoring device 11 and detects a sign of an abnormal phenomenon of the rotating machine from a tendency such as a vibration amplitude value, an amplitude increase rate, a frequency component, or a phase change, When it is determined as an abnormal sign, the detection information is transmitted to the diagnosis processing unit 15 in order to start diagnosis of the cause.
[0036]
The plant state quantity processing unit 14 takes in operating state information other than vibration information from the control computer 10, for example, information such as the rotation speed and load factor of the turbine / generator, and outputs the result to the abnormality detection processing unit 13. It is sent and used as information at the time of abnormality detection, and is sent to the diagnosis processing unit 15 and used as rotating machine information when diagnosing the cause.
[0037]
The diagnosis processing unit 15 stores, for example, a vibration causal matrix for specifying the cause of vibration as shown in FIG. 7 in the knowledge base provided therein, and extracts the cause of vibration using the vibration causal matrix. The vibration cause extracted by the diagnosis processing unit 15 is quantitatively evaluated by the vibration analysis verification unit 17.
[0038]
In the vibration analysis model memory 18, a vibration analysis model corresponding to the diagnosis result is created in advance using device-specific data, and the vibration analysis verification unit 17 analyzes and verifies using a model that matches the cause of vibration. .
[0039]
The diagnosis result by the diagnosis processing unit 15 and the analysis verification result by the vibration analysis verification unit 17 are sent to the diagnosis result evaluation unit 19, and the occurrence of the phenomenon is evaluated from the diagnosis result in the causal matrix and the vibration analysis result. The result is sent to the diagnostic result display processing unit 16 to display the monitoring status and the diagnostic result, and is used as direct support and guide information for the operator, operator and remote monitoring service engineer.
[0040]
In the present embodiment configured as described above, for example, when the diagnosis result in the diagnosis processing unit 15 is diagnosed as “part of the rotation unit scattered”, the vibration analysis verification unit 17 reads out from the vibration analysis model file 18. Using the vibration analysis model corresponding to the diagnosis results, the rotor position in the axial direction and the amount of scattering are changed to analyze the vibration, and the axial position and amount of scattering that match the amount of vibration change measured at the bearing position. Ask for.
[0041]
FIG. 2 shows parts that may be scattered on the turbine rotor. The possibility of scattering on the turbine blade 101, the blade shroud 102, the coupling fastening bolt 103, the counterweight 104, and the like. There is. In addition, although not shown in the figure, the coupling bolt cover and bolt, and the phase measurement key phaser plug may also be scattered.
[0042]
In the vibration analysis, an unbalance corresponding to the position and amount of these scattered parts is attached to the rotor, and the position and amount of the scattered parts that match the observed vibration change are obtained. When the result is sent to the evaluation unit 19 for the diagnosis result, the evaluation unit 19 for the diagnosis result includes a turbine blade, a blade shroud, a coupling fastening bolt / nut / detent, a counterweight, and a coupling bolt. Evaluate whether it matches the cover, bolt, phase measurement key phaser plug, etc. If the part can be identified, the credibility of the diagnosis result is quantitatively supported. If such a part is not conceivable, other causes will be considered.
[0043]
When the diagnosis processing unit 15 diagnoses that "rotor bending has occurred", the vibration analysis verification unit 17 performs vibration analysis by changing the amount and position of the rotor bending using the model, and at the bearing position. When the bending amount in which the vibration change amount matches the actual amount is calculated, the evaluation result evaluation unit 19 determines whether the value is appropriate as compared with the amount of bending that occurs due to deterioration over time. Whether it can be improved by addition or whether the rotating part and the stationary part are not brought into contact with each other by vibration is determined by comparison with the recent measurement result of the gap between the stationary part and the rotating part.
[0044]
Furthermore, when the diagnosis processing unit 15 diagnoses “coupling misalignment”, the vibration analysis verification unit 17 performs vibration analysis by changing the coupling misalignment amount using the model, Specify the direction of displacement. The evaluation result evaluation unit 19 evaluates whether or not the diagnosis result is correct by comparing this value with the misalignment amount and direction at the time of assembly.
[0045]
Furthermore, when the diagnosis processing unit diagnoses “unbalanced vibration”, the vibration analysis verification unit 17 performs vibration analysis by changing the size and combination of the unbalance amount using the model, In the evaluation part 19, the combination of the balance weight for reducing unbalance vibration is evaluated.
[0046]
Further, when the diagnosis processing unit 15 diagnoses that “rubbing has occurred”, the heat generated by the rubbing becomes uneven on the circumference of the shaft, so that uneven thermal expansion occurs and the rotor bends. Vibration occurs.
[0047]
FIG. 3 is a view for explaining the rubbing occurrence position and is an upper half sectional view of the low-pressure turbine rotor. Bearing base oil seal 201 for preventing the dispersion of bearing oil, turbine gland packing 202 for sealing the turbine chamber to a vacuum, turbine nozzle packings 203a, 203b as seals for each blade stage,... Tip fins 204a for seals at the blade tips, 204b,... Are not shown here, but there are intermediate gland packings depending on the rotor.
[0048]
The position where the rubbing is likely to occur is input in advance to the vibration analysis verification unit 17 from the vibration analysis model file 18, and the vibration due to the bending of the axis corresponding to this position is analyzed. If it is possible to determine which part of the shaft is calculated, the diagnostic result evaluation unit 19 knows in advance whether the shaft to be treated is a high pressure turbine, a low pressure turbine, or a generator. Large-scale construction such as disassembling the casing can be performed limitedly with a high-pressure casing or a low-pressure casing.
[0049]
When the diagnosis processing unit 15 diagnoses that “unstable vibration occurs”, the vibration analysis verification unit 17 detects unstable vibration from actual data such as the amount of bearing clearance enlargement, the amount of change in alignment, and the bearing temperature. By analyzing whether or not it occurs, the diagnosis result evaluation unit 19 can identify the factor that most affects the occurrence of unstable vibration and reflect it in the planning of countermeasures.
[0050]
Furthermore, vibration analysis / verification unit 17 analyzes vibration events for diagnostic events such as “partial scattering of rotating part”, “rotor bending occurrence”, “coupling misalignment”, “unbalanced vibration”, and “rubbing occurrence”. Since the shaft vibration value of each part can be calculated from the result of vibration simulation using the model, this vibration value and gap measurement data between the rotating part and the stationary part at the bearing part and seal part at the time of initial assembly or assembly after regular inspection , The contact can be predicted at an early stage, and the contact can be avoided.
[0051]
As described above, in the first embodiment, based on various data obtained from the rotating machine, the characteristics of the plurality of phenomena and the plurality of causes are estimated for the cause estimation built in the knowledge base of the diagnosis processing unit 13. The cause of vibration is estimated based on the related vibration causal matrix, and the estimated cause is analyzed by the vibration analysis verification unit 17 using a vibration analysis model that simulates the phenomenon of the diagnosis result built in the vibration analysis model file 18 in advance. Since the diagnosis result evaluation unit 19 verifies and confirms the vibration cause estimation result, the possibility of the phenomenon can be quantitatively evaluated, and the reliability of the diagnosis result can be improved. And it will be excellent in man-machine nature to operators, operators or remote monitoring service engineers.
[0052]
In addition, since the vibration analysis model file 18 includes a vibration analysis model for analyzing “partial scattering of the rotating portion” in advance, the axial position and the amount of scattering of the scattering occurrence portion are obtained, and the corresponding portion is evaluated. , Specific improvement of the cause can be aimed at.
[0053]
The above "partial scattering of rotating parts" is due to the scattering of turbine blades, blade shrouds, coupling fastening bolts, nuts, detents, counterweights, coupling bolt covers and bolts, and phase measurement key phaser plugs. Since it is listed in advance, the credibility is improved in identifying the scattering part.
[0054]
In addition, since a vibration analysis model that analyzes "rotation of the rotor" is built-in in advance, it can be compared with the amount of bending that occurs due to deterioration over time by adding a counterweight. Compared with the latest measurement results of the gap between the stationary part and the rotating part, it can be used to determine whether the rotating part and the stationary part do not come into contact with each other due to vibration.
[0055]
Since the vibration analysis model for analyzing the “coupling misalignment” is built in the vibration analysis model file 18 in advance, it is evaluated whether the diagnosis result is correct by comparing the amount of misalignment and the direction at the time of assembly. can do.
[0056]
Furthermore, since a vibration analysis model for analyzing vibration changes caused by the “unbalanced vibration” phenomenon is built in the vibration analysis model file 18 in advance, the vibration analysis is performed by changing the size and combination of the unbalance amount, and the unbalance. A combination of counterweights for reducing vibration can be evaluated.
[0057]
Further, since a vibration analysis model for analyzing “rubbing occurrence” is built in the vibration analysis model file 18 in advance, it is possible to know which part of which rotor has undergone rubbing and to limit the work site for countermeasures. it can.
[0058]
In addition, since a vibration analysis model for analyzing “occurrence of unstable vibration” is built in the vibration analysis model file 18 in advance, it is possible to reflect in the planning of countermeasures by specifying the most influential factor. .
[0059]
Next, a second embodiment according to the present invention will be described with reference to FIG.
[0060]
FIG. 4 shows a vibration causal matrix 20 which is written in a memory included in the diagnostic processing unit 15 and for identifying the cause of vibration from the characteristics of vibration generated in the rotating machine.
[0061]
In this vibration causal matrix 20, a weight coefficient 21 after regular inspection is added to each vibration cause.
[0062]
In a rotating machine, repair work for disassembly and inspection, so-called regular inspection, is regularly performed. However, there is a possibility that vibration may increase due to a state change caused by reassembly during disassembly and inspection as a cause of vibration. Therefore, if these factors are heavily weighted in advance by a weighting coefficient, it is possible to improve the accuracy of diagnosis of abnormal vibration.
[0063]
In the example of FIG. 4, since the high-pressure rotor, the low-pressure rotor, and the like are separated after the regular inspection and reassembled, a weight of 1.2 is added to items relating to centering and eccentricity. These weighting factors are canceled several months after the end of regular inspection.
[0064]
As described above, in the second embodiment, in the vibration causal matrix constructed in the knowledge base of the diagnosis processing unit 15, on the matrix that may cause a change in state such as disassembly and assembly by regular inspection work. By adding a weighting coefficient to the component and making the probability of vibration cause higher by this weighting coefficient, the accuracy of diagnosis can be increased.
[0065]
Next, a third embodiment according to the present invention will be described with reference to FIG.
[0066]
FIG. 5 shows the function of the diagnostic result evaluation unit 19 for displaying the diagnostic result for the cause of the vibration generated in the rotating machine.
[0067]
In the third embodiment, a vibration cause necessary condition table 22 is prepared as shown in FIG. 5, and the following functions are provided.
[0068]
In FIG. 5, when the diagnosis result of the vibration causes A and B in the previous process is received in the function S1, the function S2 compares and contrasts with the vibration cause necessary condition table 22 and is necessary to further confirm the current diagnosis. The data and its investigation method are specified and displayed in the diagnosis result by function S3. Usually, the diagnosis result is often a plurality of probabilities and often requires further data.
[0069]
In the third embodiment, when a plurality of vibration causes are estimated by the diagnosis processing unit 15, the diagnosis result evaluation unit 19 presents items and a survey method for further investigation to further narrow down the cause. Therefore, the operator and the maintenance staff can promptly respond to the investigation, and the remote monitoring service engineer can issue a prompt instruction to the customer.
[0070]
【The invention's effect】
As described above, according to the present invention, a vibration analysis model for a vibration abnormality phenomenon determined by a conventional knowledge-based vibration causal matrix is built in advance on a computer, and when an abnormal vibration phenomenon occurs, Since the phenomenon is quantitatively calculated by vibration analysis and the possibility of the phenomenon is evaluated, the reliability of the diagnosis result can be improved to the operator, the operator, or the engineer of the remote monitoring service. Further, it is possible to provide a vibration diagnosis method and apparatus for a rotating machine excellent in man-machine characteristics.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a first embodiment for explaining a vibration diagnosis method and apparatus for a rotating machine according to the present invention. FIG. 2 is a diagram illustrating components that can scatter the rotating machine in the embodiment. FIG.
FIG. 3 is a cross-sectional view for explaining a rubbing-probable portion of the rotating machine in the embodiment.
FIG. 4 is a diagram for explaining weighting after regular inspection for a vibration causal matrix according to a second embodiment of the present invention.
FIG. 5 is a block diagram for explaining a function of a diagnostic result evaluation unit according to the third embodiment of the present invention;
FIG. 6 is a block diagram for explaining a conventional abnormal vibration diagnosis apparatus for a rotary machine.
FIG. 7 is a diagram for explaining an example of a vibration causal matrix used in a conventional abnormal vibration diagnosis apparatus for a rotary machine.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... Turbine generator unit 2 ... High / medium pressure turbine 3a, 3b ... Low pressure turbine 4 ... Generator 5a-5n ... Bearing part 6a-6n ... Vibration detector 7 ... Tachometer 8 ... Phase reference pulse generator 9 ... Various sensor groups DESCRIPTION OF SYMBOLS 10 ... Control computer 11 ... Vibration monitoring apparatus 12 ... Rotary machine vibration diagnostic apparatus 13 ... Abnormality detection process part 14 ... Plant state quantity process part 15 ... Diagnosis process part 16 ... Display process part 17 ... Vibration analysis verification part 18 ... Vibration analysis Model file 19 ... diagnostic result evaluation unit 20 ... vibration causal matrix 21 ... post-test weighting coefficient example 22 ... vibration cause necessary condition table

Claims (8)

In taking various data obtained from a rotating machine and estimating the cause of the vibration from the characteristics of the vibration phenomenon occurring in the rotating machine, the characteristics of the multiple phenomena constructed in the knowledge base are related to the multiple causes. The cause of vibration is estimated based on the vibration causal matrix, the phenomenon of the estimated vibration cause is analyzed using the vibration analysis model built in the memory, and the diagnosis of the vibration phenomenon is performed from the analysis result and the vibration cause estimation result. A method for diagnosing vibration of a rotating machine, wherein the result is evaluated. 2. The vibration diagnosis method for a rotating machine according to claim 1, wherein the cause of vibration is estimated on a vibration causal matrix on which vibration may occur due to a state change in reassembly during a periodic inspection in advance. A method of diagnosing vibration of a rotating machine, wherein the cause of vibration is estimated by increasing the probability of occurrence of vibration by weighting added to the vibration cause component. The vibration diagnosis method for a rotating machine according to claim 1, wherein when a plurality of vibration causes are estimated by the diagnosis process of the vibration causal matrix, an item to be further investigated to further narrow down the cause when the diagnosis result is evaluated; A method for diagnosing vibration of a rotating machine, characterized by presenting the investigation method. 2. The vibration diagnosis method for a rotary machine according to claim 1, wherein a vibration value obtained from a vibration simulation result using a vibration analysis model, and a bearing portion and a seal portion measured in advance during initial assembly or assembly after regular inspection. A vibration diagnosis method for a rotating machine, characterized in that normality / abnormality evaluation results are displayed by comparing gap measurement data between a rotating part and a stationary part in the machine. Diagnosis by taking various data obtained from a rotating machine and associating the characteristics of multiple vibration phenomena occurring in the rotating machine with multiple causes and estimating the cause of vibration from the vibration causal matrix accumulated in the knowledge base A processing unit, a memory in which a vibration analysis model corresponding to a diagnosis result is stored in advance, a vibration cause that is estimated by the diagnosis processing unit, and an analysis model that matches the vibration cause is extracted from the memory and analyzed Vibration of a rotating machine comprising: an analysis verification unit; and a diagnostic result evaluation unit that takes in an analysis verification result by the vibration analysis verification unit and a diagnosis result by the diagnostic processing unit and evaluates occurrence of a vibration phenomenon Diagnostic device. 6. The vibration diagnosis apparatus for a rotating machine according to claim 5, wherein the diagnosis result evaluation means measures a vibration value obtained from a simulation result of vibration using a vibration analysis model and an initial assembly or an assembly after a regular inspection in advance. Rotation characterized by comparing the measured data of the gap between the rotating part and the stationary part in the bearing and seal part, and evaluating whether it is normal or abnormal, and displaying the evaluation result on the display means. Machine vibration diagnostic device. 6. The vibration diagnosis apparatus for a rotary machine according to claim 5, wherein the diagnosis processing unit preliminarily causes a vibration on a vibration causal matrix in which vibration may occur due to a change in state during reassembly during regular inspection. An apparatus for diagnosing vibration of a rotating machine, characterized in that weighting is added to a component, and the occurrence probability of vibration is increased and estimated by this weighting. The vibration diagnosis device for a rotary machine according to claim 5, wherein the diagnosis result evaluation means includes a necessary condition table in which a plurality of vibration causes, items to be investigated corresponding to the respective vibration causes, and an investigation method are written. When multiple diagnosis causes processed by the diagnosis processing unit are estimated, the items to be investigated and the investigation method necessary for narrowing down the cause from the necessary condition table are specified and displayed on the display means. A vibration diagnosis device for a rotating machine.

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