Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Study on fault diagnosis technologies of motor

WANG Huizhong;XIAO Yingchun;ZHANG Ying;ZHU Hongyi;College of Electrical and Information Engineering,Lanzhou University of Technology;Key Laboratory of Gansu Advanced Control for Industrial Processes;  
The paper introduced types and causes of common electrical and mechanical faults of motor,and described application of signal processing methods and intelligent diagnosis methods in fault diagnosis of motor.The signal processing methods include short-time Fourier transform,wavelet transform,wavelet packet transform and empirical mode decomposition.The intelligent diagnosis methods include expert system,fuzzy theory,support vector machine and neural network.It also pointed out development trend of fault diagnosis technologies of motor is combination of multiple diagnosis methods and information fusion method.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved