Research of Fault Diagnosis of Wavelet Analysis for Asynchronous Motor

DOI

10.2991/mcei-15.2015.124How to use a DOI?

Keywords

Asynchronous motor; Wavelet analysis; Fault form; Fault diagnosis; Wavelet algorithm

Abstract

In this article,the working principle of the asynchronous motor and its common failure forms are analyzed and summarized.On this basis, the wavelet change of the application of the asynchronous motor that is carried out In normal state and failure state, the motor vibration and current signal was reconstruct of the wavelet packet decomposition and single, and the fault characteristic frequency band that is conducted to extract.The characteristics of the normal operation and fault runtime spectrum is carried on the detailed comparison. Based on the wavelet packet decomposition and reconstruction of motor fault feature extraction method can effective characterization of failure from the characteristic spectrum reconstruction signal waveform Thus proves that the method based on wavelet analysis can accurately implement motor fault diagnosis.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fei Zhou
AU  - Guomin Lin
AU  - Miao Shang
AU  - Zhengqiang Li
PY  - 2015/06
DA  - 2015/06
TI  - Research of Fault Diagnosis of Wavelet Analysis for Asynchronous Motor
BT  - Proceedings of the International Conference on Management, Computer and Education Informatization
PB  - Atlantis Press
SP  - 477
EP  - 480
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-15.2015.124
DO  - 10.2991/mcei-15.2015.124
ID  - Zhou2015/06
ER  -