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Vibration fault diagnosis method of wind generating set

A technology for fault diagnosis of wind power generators, applied in genetic rules, internal combustion engine testing, computer components, etc., can solve problems such as inability to effectively deal with nonlinear and non-stationary vibration signals, achieve reliable diagnosis results, facilitate fault handling, and guarantee The effect of safety and economy

Inactive Publication Date: 2017-04-26
XIAN UNIV OF TECH
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Problems solved by technology

[0006] The purpose of the present invention is to provide a vibration fault diagnosis method of a wind power generating set, which solves the problem that the prior art cannot effectively process nonlinear and non-stationary vibration signals in the fault diagnosis process of a wind power generating set

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  • Vibration fault diagnosis method of wind generating set
  • Vibration fault diagnosis method of wind generating set
  • Vibration fault diagnosis method of wind generating set

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Embodiment Construction

[0061] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, but the present invention is not limited to these embodiments.

[0062]The method for diagnosing the vibration fault of the wind power generating set of the present invention is applied to the fault diagnosis of the main shaft bearing of the wind generating set simulated in the laboratory. First, the vibration sensor is used to collect the vibration fault signal of the wind turbine; then the original vibration signal is decomposed by the variational mode decomposition, and the IMF components containing different frequency band information are obtained; then, the energy feature method is used to extract the energy of the IMF, and the The eigenvectors input to the fault diagnosis model are obtained through unification processing; finally, the eigenvectors are input into the diagnosis model to identify and diagnose faults, thus completing t...

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Abstract

The invention discloses a vibration fault diagnosis method of a wind generating set. A vibration sensor collects a vibration fault signal of the wind generating set; a variation modal method is used to extract fault characteristic information, and further extracts a fault characteristic vector via normalization; and the fault characteristic vector is input to a model of a genetic algorithm optimized support vector machine, and fault identification and diagnosis are realized. The method is suitable for fault diagnosis and identification of the wind generating set, the diagnosis precision is higher, timely and reliable maintenance suggests can be provided for maintenance staff of the set, and unnecessary economic loss is reduced.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and in particular relates to a vibration fault diagnosis method of a wind power generating set. Background technique [0002] In recent years, energy shortage and environmental problems have become increasingly prominent, and countries all over the world have paid more and more attention to the development of new energy sources. As a renewable and clean energy source, wind power has developed rapidly in countries all over the world. However, wind turbines are prone to various failures due to their harsh working environment and complex structure. Early state detection and fault diagnosis can effectively avoid accidents and reduce economic losses. Therefore, it is of great significance to promote the development of wind power technology to carry out research on fault diagnosis technology of wind turbines. [0003] Fault diagnosis of wind turbines is generally divided into four steps, whic...

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Application Information

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IPC IPC(8): G01M15/12G06K9/62G06N3/12
CPCG01M15/12G06N3/126G06F18/2411
Inventor 贾嵘李涛涛武桦张惠智尹浩霖
Owner XIAN UNIV OF TECH
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