Fault Diagnosis for Rotor Inter-turn Short Circuit Based on PSO-ADMMF and Wavelet Packet Entropy
WANG Li
ZHANG Dan-xu
LIU Jin
Abstract：Rotor inter-turn short circuit fault is hard to be diagnosed because mathematical morphology fil-ter process stator current is not ideal.The method of PSO-adaptive mathematical morphology filtering is used to wipe out the noise interference.Firstly,the best weight coefficient of open-close and close-open op-eration is found by using PSO,and the best de-noise mathematical morphology filtering is built.Secondly, a fault diagnosis method of taking the wavelet packet entropy as a fault character is proposed combined with wavelet packet analysis and information entropy .Finally,the filtering effectiveness of the de-noise result of PSO-ADMMF and that of the conventional mathematical morphology are compared,and the wavelet entropy after de-noise is figured out.The result shows that the method is useful and effective.
Keywords：adaptive mathematical morphology filterparticle swarm optimizationrotor inter-turn short circuit faultwavelet packet entropy
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 57-60 )