CN102434388B - 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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CN102434388B
CN102434388B CN2011103669324A CN201110366932A CN102434388B CN 102434388 B CN102434388 B CN 102434388B CN 2011103669324 A CN2011103669324 A CN 2011103669324A CN 201110366932 A CN201110366932 A CN 201110366932A CN 102434388 B CN102434388 B CN 102434388B
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health status
wind
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generation unit
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CN102434388A (en
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高丙团
王�琦
汤奕
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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, belong 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 " planning of renewable energy sources Long-and Medium-term Development " target of issuing 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, Jiangsu and provinces and regions, seven, Shandong.Jiuquan ten million multikilowatt wind-powered electricity generation construction of base planning total installation of generating capacity is 3,565 ten thousand kilowatts; 2,000 ten thousand kilowatts of Hami planning; 5,000 ten thousand kilowatts of Inner Mongol planning constructions, wherein cover 2,000 ten thousand kilowatts, west, covers 3,000 ten thousand kilowatts, east; Hebei planning is built together and is established 1,000 ten thousand kilowatts in coastal and northern territory; 1,000 ten thousand kilowatts of Jiangsu planning constructions, wherein coastal waters is 7,000,000 kilowatts; West Area of Jilin Province, mainly, in cities such as loose source and Baicheng, be planned for the year two thousand twenty and reach 2,300 ten thousand kilowatts.By the end of the year 2009, China's installed capacity of wind-driven power has reached 2,500 ten thousand kilowatts, leaps to global second.
China's wind-power electricity generation development is swift and violent, but in the primary stage, faces the multiple challenge of fault.Wind Power Generation Industry is expected to change to intensive farming from extensive operation, not only needs to improve electric motor power, more need realize high-yield and high-efficiency.Become the obstacle of realizing this goal and fan trouble is multiple, even had the tens of Fans of certain wind field barrier to be installed over several years for some reason and the never report of generating.More situation is that the blower fan reliability is lower; and lack the fault pre-alarming function, consequently less fault is failed to find, keeps in repair and develops into great safety and equipment accident, not only causes shutdown loss; and maintenance expenses sharply rises, and even may surpass its output expense.Therefore, occurred that certain blower fan MANUFACTURER causes enterprise's report of going bankrupt unable to make ends meet because guaranteeing to keep in good repair the multiple product of its fault abroad.Wind Power Generation Industry must be walked out this type of awkward situation.
The health status monitoring technology provides technical specifications for Wind Power 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.Although it can not prevent that fault from occurring, 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 larger economic benefit.
Main equipment structural health conditions monitoring technology is mainly used in the fields such as Aeronautics and Astronautics, bridge, building at present, the general mode by pre-buried multi-freedom degree sensor, the signals such as Real-Time Monitoring vibration acceleration, adopt Modal Parameters Identification, by Structure dynamic characteristics parameters such as identification frequency and dampings, the diagnosing health state, for the structural safety operation provides technical support.In wind power generation field, 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 is to provide a kind ofly can carry out to the wind-driven generator real-time running state method of on-line monitoring wind power generating set health status on-Line Monitor Device and wind power generating set health status on-line monitoring.
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, described signal acquisition module comprises: be arranged on the vibration transducer that gathers the oscillating signal of each parts on the several parts of wind-powered electricity generation unit; Be arranged on the temperature transducer that gathers the temperature signal of each parts on wind-powered electricity generation unit parts; Be arranged on the oil quality sensor that wind-powered electricity generation unit fuel tank place gathers oily signal; Be arranged near the audio sensor that gathers each parts audio signal of wind-powered electricity generation unit parts; Be arranged on the stress strain gauge that gathers the blade stress strain signal on wind power generation unit blade; Be used for receiving the wind-powered electricity generation unit essential information acquisition module of wind-powered electricity generation unit essential information;
Signal pre-processing module,, by predefined threshold value, carry 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 wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling requirement, directly take to withdraw from the actions such as generator operation;
Data fusion module, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database system, makes health status diagnosis decision-making, offers the user;
The health status information output module, the information that provides according to signal pre-processing module and data fusion module is to the corresponding monitoring information of personal monitoring's platform output.
In described signal acquisition module, vibration transducer comprises: be arranged on wind power generation unit blade, main shaft and pylon, gather respectively the low-frequency shock transducer of mounting point oscillating signal; Be arranged on the intermediate frequency sensor that gathers the rotor oscillation signal on rotor shaft; Be arranged on wind-powered electricity generation set generator and gear-box, gather respectively the high frequency sensors of mounting point oscillating signal.
In described signal acquisition module, temperature transducer is arranged on box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet or column foot control cabinet wind outlet port, is used for gathering the temperature signal of each mounting point.
Adopt discrete wavelet to remove signal noise to the current power signal in described signal pre-processing module, then by continuous wavelet, extract the signal characteristic frequency.
Be provided with self-learning module in described experts database system, health status diagnosis decision-making feeds back to experts database through self-learning module, and corresponding confidence factor is modified, and upgrades experts database; Self-learning module can be carried out reasoning to the disposing condition of system health status monitoring result according to the information in 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 accuracy.
A kind of wind power generating set health status of the present invention on-line monitoring method comprises the steps:
1) gather 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 wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling requirement, directly take to withdraw from the actions such as generator operation;
3) related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, make health status diagnosis decision-making, offer the user;
4) make corresponding action according to warning message or health status Diagnosis Decision.
Wind power generating set health status on-Line Monitor Device of the present invention and method, owing to adopting multiple sensors to gather the wind power generating set health status information, passing threshold is controlled and data fusion, can shift to an earlier date the contingent parts of failure judgement, reliability and the accuracy of wind-powered electricity generation unit health status monitoring diagnosis decision-making have been guaranteed, for the healthy operation of wind-powered electricity generation unit provides sufficient safety guarantee.
Description of drawings
The present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Fig. 1 is the structured flowchart of wind power generating set health status on-Line Monitor Device;
Fig. 2 is wind power generating set health status on-line monitoring method flow chart;
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 the several parts of wind-powered electricity generation unit to gather the oscillating signal of each parts; Temperature transducer 1~n 2, be arranged on the 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, be arranged on the several parts of wind-powered electricity generation unit neighbouring to gather the audio signal of each parts; Stress strain gauge 1~n 5, be arranged on wind power generation unit blade to gather the blade stress strain signal; Wind-powered electricity generation unit essential information acquisition module, be used for receiving wind-powered electricity generation unit environmental information and electric information.
Signal pre-processing module,, by predefined threshold value, carry 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 wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, surpass the setting threshold scope as signal, by the health status information output module, directly to personal monitoring's platform, send warning message, also can directly take to withdraw from the actions such as generator operation according to controlling requirement.
Data fusion module, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, makes health status diagnosis decision-making, offers the user.Add self-learning module in the experts database system, health status is diagnosed decision-making, through self-learning module, is fed back to experts database, and corresponding confidence factor is modified, and upgrades experts database.Simultaneously, self-learning module can be carried out reasoning to the disposing condition of system health status monitoring result according to the information in 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 accuracy.
The health status information output module, the information that provides according to signal pre-processing module and data fusion module, to the corresponding monitoring information of personal monitoring's platform output, comprises alarm signal and health status diagnosis decision-making.
In described signal acquisition module, vibration transducer comprises: low-frequency shock transducer, be arranged on wind power generation unit blade, main shaft and pylon, and gather respectively the oscillating signal of mounting point; The intermediate frequency sensor, be arranged on rotor shaft, gathers the rotor oscillation signal; High frequency sensors, be arranged on the wind-powered electricity generation set generator and gear-box on, gather respectively the oscillating signal of mounting point.
In described signal acquisition module, temperature transducer is arranged on 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, and gathers the temperature signal of each mounting point.
The wind-powered electricity generation unit basic information packet of described signal acquisition module apoplexy group of motors essential information acquisition module collection is drawn together: 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 described signal pre-processing module, then by continuous wavelet, extract the signal characteristic frequency.
The present invention also provides wind power generating set health status on-line monitoring method, comprises the following steps as shown in Figure 2:
Gather each described 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.
The 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 wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, surpass the setting threshold scope as signal, by the health status information output module, directly to personal monitoring's platform, send warning message, also can directly take to withdraw from the actions such as generator operation according to controlling requirement.
Related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, make health status diagnosis decision-making, offer the user.
Make corresponding action according to described warning message or health status Diagnosis Decision.
For example: 1 10kW wind-driven generator, by at the additional certain mass object of rotor, coming analog mechanical disturbance or fault, be specially: at 0-120, normally move second, started at the 121st second, an additional 1kg addition (is 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 IS01940-1:2003 regulation) continue 120 seconds.Current wind speed 8 meter per seconds, active power of output 3kW, rotor main shaft oscillating signal Threshold are [0,0.4] mm/second.
Signal Pretreatment is passed through, and enters data fusion module.Process through data, result of spectrum analysis as shown in Figure 3.Y coordinate represents the spectrum energy of signal after mechanical disturbance.Can obviously be found out by Fig. 3, saltus step occurred at 121 seconds in frequency spectrum, and is abnormal between 121~240 seconds,, by contrasting experts database frequency spectrum under identical operating mode (i.e. 0~60 second frequency spectrum in figure), finds out that generator amature is abnormal.The oscillating signal that gathers is, 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 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-making.

Claims (6)

1. wind power generating set health status on-Line Monitor Device is characterized in that comprising:
Signal acquisition module, described signal acquisition module comprises: be arranged on the vibration transducer that gathers the oscillating signal of each parts on the several parts of wind-powered electricity generation unit; Be arranged on the temperature transducer that gathers the temperature signal of each parts on wind-powered electricity generation unit parts; Be arranged on the oil quality sensor that wind-powered electricity generation unit fuel tank place gathers oily signal; Be arranged near the audio sensor that gathers each parts audio signal of wind-powered electricity generation unit parts; Be arranged on the stress strain gauge that gathers the blade stress strain signal on wind power generation unit blade; Be used for receiving the wind-powered electricity generation unit essential information acquisition module of wind-powered electricity generation unit essential information;
Signal pre-processing module,, by predefined threshold value, carry 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 wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling, require directly to take to withdraw from the generator operation action;
Data fusion module, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database system, makes health status diagnosis decision-making, offers the user;
The health status information output module, the information that provides according to signal pre-processing module and data fusion module is to the corresponding monitoring information of personal monitoring's platform output.
2. a kind of wind power generating set health status on-Line Monitor Device according to claim 1, it is characterized in that in described signal acquisition module, vibration transducer comprises: be arranged on wind power generation unit blade, main shaft and pylon, gather respectively the low-frequency shock transducer of mounting point oscillating signal; Be arranged on the intermediate frequency sensor that gathers the rotor oscillation signal on rotor shaft; Be arranged on wind-powered electricity generation set generator and gear-box, gather respectively the high frequency sensors of mounting point oscillating signal.
3. a kind of wind power generating set health status on-Line Monitor Device according to claim 1, it is characterized in that: in described signal acquisition module, temperature transducer is arranged on box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet or column foot control cabinet wind outlet port, is used for gathering 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 described signal pre-processing module, then by continuous wavelet, extract the signal characteristic frequency.
5. a kind of wind power generating set health status on-Line Monitor Device according to claim 1, it is characterized in that: be provided with self-learning module in described experts database system, health status diagnosis decision-making feeds back to experts database through self-learning module, and corresponding confidence factor is modified, upgrade experts database; Self-learning module can be carried out reasoning to the disposing condition of system health status monitoring result according to the information in 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) gather 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 wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling, require directly to take to withdraw from the generator operation action;
3) related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, make health status diagnosis decision-making, offer the user;
4) make corresponding action according to warning message or health status Diagnosis Decision.
CN2011103669324A 2011-11-17 2011-11-17 Health status online monitoring device of wind generating set and monitoring method of monitoring device Expired - Fee Related CN102434388B (en)

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