CN102434388A - Health status online monitoring device of wind generating set and monitoring method of monitoring device - Google Patents

Health status online monitoring device of wind generating set and monitoring method of monitoring device Download PDF

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CN102434388A
CN102434388A CN2011103669324A CN201110366932A CN102434388A CN 102434388 A CN102434388 A CN 102434388A CN 2011103669324 A CN2011103669324 A CN 2011103669324A CN 201110366932 A CN201110366932 A CN 201110366932A CN 102434388 A CN102434388 A CN 102434388A
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health status
wind
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generation unit
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CN102434388B (en
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高丙团
王�琦
汤奕
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02E10/72Wind turbines with rotation axis in wind direction

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Abstract

The invention discloses a health status online monitoring device of a wind generating set and a monitoring method of the monitoring device, wherein the monitoring device comprises a signal acquisition module, a signal preprocessing module, a data fusion module and a health status information output module. Firstly, acquiring signals of each component of the wind generating set, performing preprocessing to the acquired signals, performing data fusion processing to relevant data and extracting data foretaste information; under the action of an inference engine, matching the data information with the data information in an expert database, making a health status diagnosis decision and offering to users; taking relevant actions according to alarm messages or health status diagnosis decision information; The health status online monitoring device adopts multiple sensors to acquire the health status information of the wind generating set and can judge a component which is possible to have a fault in advance by threshold value control and data fusion and ensure the reliability and the accuracy of the health status diagnosis decision of the wind generating set.

Description

Wind power generating set health status on-Line Monitor Device and monitoring method thereof
Technical field
The present invention relates to a kind of monitoring device, particularly a kind of wind power generating set health status on-Line Monitor Device belongs to technical field of wind power generation.The invention still further relates to a kind of method of wind power generating set health status on-line monitoring.
Background technique
According to country's " new energy industry development planning " draft, the year two thousand twenty China wind-powered electricity generation total installation of generating capacity will reach 1.5 hundred million kilowatts, be 5 times of " renewable energy sources midium or long term development plan " target of issue in 2007.According to planning, China will be in Gansu, 8 ten million multikilowatt wind-powered electricity generation bases are made in Xinjiang, Hebei, Jilin, the Inner Mongol, seven provinces and regions in Jiangsu and Shandong.Jiuquan ten million multikilowatt wind-powered electricity generation construction of base planning total installation of generating capacity is 3,565 ten thousand kilowatts; Hami is planned 2,000 ten thousand kilowatts; 5,000 ten thousand kilowatts of Inner Mongol planning constructions wherein cover 2,000 ten thousand kilowatts in west, cover 3,000 ten thousand kilowatts in east; Hebei planning is established 1,000 ten thousand kilowatts coastal building together with the northern territory; 1,000 ten thousand kilowatts of Jiangsu planning constructions, wherein the coastal waters is 7,000,000 kilowatts; The Technique in Western Jilin Province area mainly in cities such as loose source and Baicheng, is planned for the year two thousand twenty and reaches 2,300 ten thousand kilowatts.By the end of the year 2009, China's wind-powered electricity generation electric motor power has reached 2,500 ten thousand kilowatts, leaps to second in the whole world.
China's wind-power electricity generation development is swift and violent, but faces the multiple challenge of fault in the primary stage.The expectation of wind-powered electricity generation industry changes to intensive farming from extensive operation, not only need improve electric motor power, more need realize high-yield and high-efficiency.And the fan trouble pilosity has become the obstacle of realizing this goal, even has the tens of typhoon machines of certain wind field that failover over several years is installed and the report of generating never.More situation is that the blower fan reliability is lower; And lack the fault pre-alarming function, consequently less fault is failed to find, is keeped in repair and develops into great safety and equipment accident, not only causes shutdown loss; And maintenance expenses sharply rises, even possibly surpass its output expense.Therefore, occurred certain blower fan MANUFACTURER abroad and caused enterprise's report of going bankrupt unable to make ends meet because of guaranteeing to keep in good repair the multiple product of its fault.The wind-powered electricity generation industry must be walked out this type of awkward situation.
The health status monitoring technology provides technical specifications for the wind-powered electricity generation industry breaks away from above-mentioned awkward situation.The basic purpose of health status monitoring is in time to find fault, the alarm prompt maintenance.Though it can not prevent that fault from taking place, and can prevent trouble before it happens.The health status monitoring technology is carried out health examination for wind power equipment incessantly; Find that in time the state of an illness and guides timely treatment, can prevent that little disease from developing into serious disease, gets well with less cost; Thereby keep fit and life-saving, bring into play bigger economic benefit.
Main equipment structural health conditions monitoring technology is mainly used in fields such as Aeronautics and Astronautics, bridge, building at present; The general mode through pre-buried multi-freedom degree sensor; Signals such as real-time monitoring vibration acceleration adopt Modal Parameters Identification, through Structure dynamic characteristics parameters such as identification frequency and dampings; The diagnosing health state is for the structural safety operation provides technical support.In wind power generation field, the health status monitoring belongs to great innovation research content.
Existing so-called health status monitoring system, the overwhelming majority all is based on the fan vibration physical quantity, and the monitoring gimmick is single, and monitoring accuracy is lower, often can only be as personal monitoring's auxiliary device.
Summary of the invention
Technical problem to be solved by this invention provides a kind of method that can carry out on-line monitoring wind power generating set health status on-Line Monitor Device and wind power generating set health status on-line monitoring to the wind-driven generator real-time running state.
In order to solve above-mentioned technical problem, technological scheme of the present invention is: a kind of wind power generating set health status on-Line Monitor Device, and it comprises:
Signal acquisition module, said signal acquisition module comprises: be arranged on the vibration transducer of gathering the oscillating signal of each parts on several parts of wind-powered electricity generation unit; Be arranged on the temperature transducer of gathering the temperature signal of each parts on the wind-powered electricity generation unit parts; Be arranged on the oil quality sensor that oily signal is gathered at wind-powered electricity generation unit fuel tank place; Be arranged near the audio sensor of gathering each parts audio signal of wind-powered electricity generation unit parts; Be arranged on the stress strain gauge of gathering the blade stress strain signal on the wind power generation unit blade; Be used to receive the wind-powered electricity generation unit essential information acquisition module of wind-powered electricity generation unit essential information;
Signal pre-processing module through pre-set threshold, carries out pretreatment to the signal of signal acquisition module collection: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and the electric power signal of wind-powered electricity generation unit are carried out threshold ratio; If signal surpasses the setting threshold scope; Then directly send warning message, perhaps directly take to withdraw from actions such as generator operation according to the control requirement to personal monitoring's platform through the health status information output module;
Data fusion module extracts data sign information, under the inference machine effect, with the coupling of the data information in data information and the experts database system, makes the health status diagnosis decision, offers the user;
The health status information output module is exported corresponding monitoring information according to the information that signal pre-processing module and data fusion module provide to personal monitoring's platform.
Vibration transducer comprises in the said signal acquisition module: be installed on wind power generation unit blade, main shaft and pylon or the tower tube, gather the low-frequency shock transducer of mounting point oscillating signal respectively; Be installed in the intermediate frequency sensor of gathering the rotor oscillation signal on the rotor shaft; Be installed on wind-powered electricity generation set generator and the gear-box, gather the high frequency sensors of mounting point oscillating signal respectively.
Temperature transducer is installed in box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet or column foot control cabinet wind outlet port in the said signal acquisition module, is used to gather the temperature signal of each mounting point.
Adopt discrete wavelet to remove signal noise to the current power signal in the said signal pre-processing module, extract the signal characteristic frequency through continuous wavelet again.
In said experts database system, be provided with self-learning module, the health status diagnosis decision feeds back to experts database through self-learning module, and corresponding confidence factor is made amendment, and upgrades experts database; Self-learning module can be carried out reasoning to system health status monitoring result's disposing condition according to information in the experts database and user; To obtain fresh information, sum up new experience, constantly expand experts database; Realize the self-learning function of experts database system, thereby improve the diagnosis decision precision.
A kind of wind power generating set health status of the present invention on-line monitoring method comprises the steps:
1) gathers each parts signal of wind-powered electricity generation unit, involving vibrations signal, oily signal, temperature signal, audio signal, ess-strain signal and current meteorology essential information;
2) signal that collects is carried out pretreatment, comprising: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and the electric power signal of wind-powered electricity generation unit are carried out threshold ratio; If signal surpasses the setting threshold scope; Then directly send warning message, perhaps directly take to withdraw from actions such as generator operation according to the control requirement to personal monitoring's platform through the health status information output module;
3) related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, make the health status diagnosis decision, offer the user the coupling of the data information in data information and the experts database;
4) make corresponding action according to warning message or health status diagnosis decision information.
Wind power generating set health status on-Line Monitor Device of the present invention and method; Gather the wind power generating set health status information owing to adopt multiple sensors; Passing threshold control and data fusion; Can shift to an earlier date the contingent parts of failure judgement, guarantee the reliability and the accuracy of wind-powered electricity generation unit health status monitoring, diagnosing decision-making, for the healthy operation of wind-powered electricity generation unit provides sufficient safety guarantee.
Description of drawings
Below in conjunction with accompanying drawing and embodiment the present invention is done further detailed explanation.
Fig. 1 is the structured flowchart of wind power generating set health status on-Line Monitor Device;
Fig. 2 is a wind power generating set health status on-line monitoring method flow diagram;
Fig. 3 is fault current signal spectrum figure.
Embodiment
Wind power generating set health status on-Line Monitor Device, as shown in Figure 1, comprising:
Signal acquisition module comprises: vibration transducer 1~n 1, be arranged on several parts of wind-powered electricity generation unit to gather the oscillating signal of each parts; Temperature transducer 1~n 2, be arranged on several parts of wind-powered electricity generation unit to gather the temperature signal of each parts; Oil quality sensor 1~n 3, be arranged on wind-powered electricity generation unit fuel tank and sentence the oily signal of collection; Audio sensor 1~n 4, it is neighbouring to gather the audio signal of each parts to be arranged on several parts of wind-powered electricity generation unit; Stress strain gauge 1~n 5, be arranged on the wind power generation unit blade to gather the blade stress strain signal; Wind-powered electricity generation unit essential information acquisition module is used to receive wind-powered electricity generation unit environmental information and electric information.
Signal pre-processing module through pre-set threshold, carries out pretreatment to the signal of signal acquisition module collection: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and the electric power signal of wind-powered electricity generation unit are carried out threshold ratio; Surpass the setting threshold scope like signal; Then directly send warning message, also can directly take to withdraw from actions such as generator operation according to the control requirement to personal monitoring's platform through the health status information output module.
Data fusion module extracts data sign information, under the inference machine effect, with the coupling of the data information in data information and the experts database, makes the health status diagnosis decision, offers the user.In the experts database system, add self-learning module, the health status diagnosis decision, feed back to experts database, and corresponding confidence factor is made amendment, upgrade experts database through self-learning module.Simultaneously, self-learning module can be carried out reasoning to system health status monitoring result's disposing condition according to information in the experts database and user, to obtain fresh information; Sum up new experience; Constantly expand experts database, realize the self-learning function of experts database system, thereby improve the diagnosis decision precision.
The health status information output module is exported corresponding monitoring information according to the information that signal pre-processing module and data fusion module provide to personal monitoring's platform, comprises alarm signal and health status diagnosis decision.
Vibration transducer comprises in the said signal acquisition module: low-frequency shock transducer, be installed on wind power generation unit blade, main shaft and pylon or the tower tube, and gather the oscillating signal of mounting point respectively; The intermediate frequency sensor is installed on the rotor shaft, gathers the rotor oscillation signal; High frequency sensors, be installed on the wind-powered electricity generation set generator with gear-box on, gather the oscillating signal of mounting point respectively.
Temperature transducer is installed in box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet, the outlet of column foot control cabinet wind etc. and locates in the said signal acquisition module, gathers the temperature signal of each mounting point.
The wind-powered electricity generation unit essential information of said signal acquisition module apoplexy group of motors essential information acquisition module collection comprises: ambient wind velocity, ambient temperature, phase voltage, phase current, wattless power, active power and mains frequency.
Can adopt discrete wavelet to remove signal noise to the current power signal in the said signal pre-processing module, extract the signal characteristic frequency through continuous wavelet again.
The present invention also provides wind power generating set health status on-line monitoring method, as shown in Figure 2 may further comprise the steps:
Gather each said parts signal of wind-powered electricity generation unit, involving vibrations signal, oily signal, temperature signal, audio signal, ess-strain signal and wind-powered electricity generation unit essential information.
Signal to collecting carries out pretreatment, comprising: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and the electric power signal of wind-powered electricity generation unit are carried out threshold ratio; Surpass the setting threshold scope like signal; Then directly send warning message, also can directly take to withdraw from actions such as generator operation according to the control requirement to personal monitoring's platform through the health status information output module.
Related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, make the health status diagnosis decision, offer the user the coupling of the data information in data information and the experts database.
Make corresponding action according to described warning message or health status diagnosis decision information.
For example: 1 10kW wind-driven generator; Through simulating mechanical disturbance or fault at the additional certain mass object of rotor; Be specially: normally move second at 0-120, beginning in the 121st second, an additional 1kg addition (was approximately 0.3% on the rotor of its 292kg; The balancing mass grade that causes is G7.8, less than the low speed blower fan transmission shaft balance level G16 of ISO1940-1:2003 regulation) continue 120 seconds.Current wind speed 8 meter per seconds, active power of output 3kW, rotor main shaft oscillating signal threshold value is set at [0,0.4] mm/second.
Signal Pretreatment is passed through, and gets into data fusion module.Through data processing, the frequency analysis result is as shown in Figure 3.Y coordinate is represented the spectrum energy of signal behind the mechanical disturbance.Can find out obviously that by Fig. 3 frequency spectrum at 121 seconds saltus step takes place, unusual between 121~240 seconds, through contrasting experts database frequency spectrum under the identical operating mode (i.e. 0~60 second frequency spectrum among the figure), find out that generator amature is unusual.The oscillating signal of gathering does, 0~120 second is 0.05~0.07 mm/second (fluctuation is arranged), and 121~240 seconds is 0.34~0.38 mm/second (fluctuation is arranged), and signal is all in threshold range.
Call the experts database relevant information, at ambient wind velocity 8 meter per seconds, under the active power of output 3kW operating mode, the experts database vibration information is [0.02~0.16] mm/second, and 121~240 seconds information wave ranges that collect exceed the experts database threshold value.Oscillating signal and electric signal are carried out data fusion, and drawing diagnostic result is the rotor shaft fault, sends alarm signal, and output health status diagnosis decision.

Claims (6)

1. wind power generating set health status on-Line Monitor Device is characterized in that comprising:
Signal acquisition module, said signal acquisition module comprises: be arranged on the vibration transducer of gathering the oscillating signal of each parts on several parts of wind-powered electricity generation unit; Be arranged on the temperature transducer of gathering the temperature signal of each parts on the wind-powered electricity generation unit parts; Be arranged on the oil quality sensor that oily signal is gathered at wind-powered electricity generation unit fuel tank place; Be arranged near the audio sensor of gathering each parts audio signal of wind-powered electricity generation unit parts; Be arranged on the stress strain gauge of gathering the blade stress strain signal on the wind power generation unit blade; Be used to receive the wind-powered electricity generation unit essential information acquisition module of wind-powered electricity generation unit essential information;
Signal pre-processing module through pre-set threshold, carries out pretreatment to the signal of signal acquisition module collection: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and the electric power signal of wind-powered electricity generation unit are carried out threshold ratio; If signal surpasses the setting threshold scope; Then directly send warning message, perhaps directly take to withdraw from actions such as generator operation according to the control requirement to personal monitoring's platform through the health status information output module;
Data fusion module extracts data sign information, under the inference machine effect, with the coupling of the data information in data information and the experts database system, makes the health status diagnosis decision, offers the user;
The health status information output module is exported corresponding monitoring information according to the information that signal pre-processing module and data fusion module provide to personal monitoring's platform.
2. a kind of wind power generating set health status on-Line Monitor Device according to claim 1; It is characterized in that vibration transducer comprises in the said signal acquisition module: be installed on wind power generation unit blade, main shaft and pylon or the tower tube, gather the low-frequency shock transducer of mounting point oscillating signal respectively; Be installed in the intermediate frequency sensor of gathering the rotor oscillation signal on the rotor shaft; Be installed on wind-powered electricity generation set generator and the gear-box, gather the high frequency sensors of mounting point oscillating signal respectively.
3. a kind of wind power generating set health status on-Line Monitor Device according to claim 1; It is characterized in that: temperature transducer is installed in box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet or column foot control cabinet wind outlet port in the said signal acquisition module, is used to gather the temperature signal of each mounting point.
4. a kind of wind power generating set health status on-Line Monitor Device according to claim 1; It is characterized in that: adopt discrete wavelet to remove signal noise to the current power signal in the said signal pre-processing module, extract the signal characteristic frequency through continuous wavelet again.
5. a kind of wind power generating set health status on-Line Monitor Device according to claim 1; It is characterized in that: in said experts database system, be provided with self-learning module; The health status diagnosis decision feeds back to experts database through self-learning module; And corresponding confidence factor made amendment, upgrade experts database; Self-learning module can be carried out reasoning to system health status monitoring result's disposing condition according to information in the experts database and user, to obtain fresh information, sums up new experience, constantly expands experts database, realizes the self-learning function of experts database system.
6. a wind power generating set health status on-line monitoring method is characterized in that comprising the steps:
1) gathers each parts signal of wind-powered electricity generation unit, involving vibrations signal, oily signal, temperature signal, audio signal, ess-strain signal and current meteorology essential information;
2) signal that collects is carried out pretreatment, comprising: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and the electric power signal of wind-powered electricity generation unit are carried out threshold ratio; If signal surpasses the setting threshold scope; Then directly send warning message, perhaps directly take to withdraw from actions such as generator operation according to the control requirement to personal monitoring's platform through the health status information output module;
3) related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, make the health status diagnosis decision, offer the user the coupling of the data information in data information and the experts database;
4) make corresponding action according to warning message or health status diagnosis decision information.
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