Research on Fault Diagnosis Method of Wind Turbine Frequency Converter
It＇s hard to extract and identify effective fault feature,when the fault of wind turbine frequency converter composed of nonlinear power electronic device happened.A method based on wavelet packet analyzing and Elman neural network was proposed to fault diagnose of power electronic device.Firstly,the signal feature of different states about voltage and current of power electronic device was extracted by using the wavelet packet analysis.Then the data was normalized and being inportted the Elman neural network,the neural network classifier will identify and diagnose different faults.Taking the typical wind turbine AC-DC-AC frequency converter as an example,completed the circuit model under Matlab and put up emulation experiment.The result of emulation shows that the method can deal with the fault diagnosis rapidly and accurately.
wind turbine frequency converterfault diagnosiswavelet packetelman neural network
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