Double-fed aerogenerator stator/rotor fault analysis diagnosis apparatus and method

Abstract

The invention discloses a double-fed aerogenerator stator / rotor fault analysis diagnosis method. The method comprises the following steps: performing waveform matching on sampled six-path current signals by use of an improved HTT algorithm, and according to a matching result, carrying out adaptive end point extension; obtaining a limited number of intrinsic mode functions (IMFs) by performing empirical mode decomposition on the signals after the extension; eliminating obtained false IMFs by use of an energy conservation method; and according true IMFs obtained after the false IMFs are eliminated, determining a feature frequency of original signals, and through detecting the feature frequency, determining a fault type of a double-fed aerogenerator stator / rotor and severity. According to the invention, through the improved HTT algorithm, the adaptive capability of the algorithm is greatly improved, stator / rotor fault signals of a motor are effectively extracted, and convenience is provided for onsite detection of a double-fed aerogenerator stator / rotor fault.

Description

technical field [0001] The invention relates to a doubly-fed wind power generator stator-rotor fault diagnosis device and method, in particular to a doubly-fed wind power generator stator-rotor fault analysis and diagnosis device and method based on an improved HHT algorithm. Background technique [0002] As a clean energy source with unlimited reserves, wind power has been paid more and more attention in various countries. Up to now, wind power has been developing rapidly in the world. For the selection of wind power generators, due to the stable operation performance of doubly-fed technology has occupied a large market share, doubly-fed wind power generators have become the backbone of wind power generation. [0003] The doubly-fed wind turbine is a generator in which the stator and the rotor can generate electric energy at the same time. When the speed is super synchronous, the stator and rotor are in the power generation state at the same time, and the rotor feeds power ...

AI Technical Summary

Problems solved by technology

The static detection method is good for ensuring the safe operation and quality inspection of the generator, but some faults between the stator and the rotor are not very stable at the initial stage or only appear during dynamic operation, so the static detection method is difficult to judge

There are also some stator and rotor faults of motors that are detected through the four parts of shaft voltage and current, rotor winding insulation, stator winding partial discharge, and generator operating parameter monitoring. Differential detection is used for rotor inter-turn short circuits. The method of combining coils with wavelet analysis to extract non-stationary instantaneous, singular and abrupt components has achieved certain results, but because the wavelet is too dependent on the selection of the fundamental wave, the versatility is weak

[0005] Since wind power generation itself is an unsteady nonlinear process, traditional signal analysis methods such as Fourier transform, Gabor transform, wavelet transform (Wavelet transform, WT), Wigner-Ville distribution (Wigner-Ville Distribution, WVD), etc. Poor self-adaption ability, unable to effectively extract the fault characteristics of the motor

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