Vibration fault diagnosis method of wind generating set

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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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 th

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