Accurate diagnosis method for vibration fault of wind generating set
A technology for wind turbines and diagnostic methods, applied in neural learning methods, computer parts, instruments, etc., can solve problems such as inability to analyze vibration failures, disadvantage, and excessive time, save manual analysis time, and improve efficiency and accuracy. , the effect of no omission and misjudgment
Pending Publication Date: 2020-08-18
GUANGDONG MINGYANG WIND POWER IND GRP CO LTD
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Problems solved by technology
As the number of installed machines continues to increase, the number of vibration faults increases exponentially, and the number of files generated by vibration faults is large. It takes a lot of time to analyze the causes of vibration faults, and it is impossible to analyze all vibration faults one by one. low, and the data analysis conclusions are not comprehensive, which is not conducive to the solution of on-site vibration problems
If the traditional computer is used for frequency spectrum analysis to determine vibration faults, there are obvious limitations
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[0027] The present invention will be further described below in conjunction with specific embodiments.
[0028] The method for accurately diagnosing vibration faults of wind turbine generators in this embodiment includes the following steps:
[0029] 1) According to experience, the known causes of wind turbine vibration failures are divided into 7 categories, specifically: the 3p frequency of the impeller in the tower resonance speed zone of the wind turbine tower resonates with the tower frequency, and the wind shear due to micro-site selection problems Variable vibration, left and right vibration caused by unreasonable control program parameters, left and right high frequency vibration caused by abnormal generator encoder, yaw vibration caused by low yaw half release pressure, high frequency of yaw process caused by deterioration of yaw friction plate Vibration and large-angle pitch guide vibration in windy weather.
[0030] 2) Sample collection: Collect at least 10,000 samples fo...
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The invention discloses an accurate diagnosis method for a vibration fault of a wind generating set, and the method comprises the following steps: 1) summarizing the cause classification of the knownvibration fault of the wind generating set; 2) collecting a sample; 3) constructing a neural network to form an accurate diagnosis model; and 4) verifying the accurate diagnosis model. According to the method, the vibration fault characteristics of the wind generating set are recognized through training learning by utilizing the neural network, the accurate diagnosis model is formed, the vibrationfault analysis result can be rapidly obtained according to the actual fault characteristics, the fault analysis efficiency and accuracy are improved, a large amount of manual analysis time is saved,and missed judgment and misjudgment are avoided.
Description
Technical field [0001] The invention relates to the technical field of fault diagnosis of a wind power generating set, in particular to a method for accurately diagnosing vibration faults of a wind power generating set. Background technique [0002] In the wind power generating set industry, vibration faults are frequent failures of wind power generating sets. There are many reasons for vibration faults. The cause of vibration failure requires manual analysis of the failure data to determine the cause. With the continuous increase in the number of installed units, the number of vibration failures has increased exponentially, and the number of vibration failure files generated is large. It takes more time to analyze the causes of vibration failures, and it is impossible to analyze all vibration failures one by one. Only sampling analysis can be performed, not only efficiency Low, and the data analysis conclusion is not comprehensive, which is not conducive to the solution of the ...
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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/214G06F18/241
Inventor 蔡永波张志坤刘卫白斌张保
Owner GUANGDONG MINGYANG WIND POWER IND GRP CO LTD