Research of Fault Diagnosis of Wavelet Analysis for Asynchronous Motor
Fei Zhou, Guomin Lin, Miao Shang, Zhengqiang Li
Available Online June 2015.
- https://doi.org/10.2991/mcei-15.2015.124How to use a DOI?
- Asynchronous motor; Wavelet analysis; Fault form; Fault diagnosis; Wavelet algorithm
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/mcei-15.2015.124 ID - Zhou2015/06 ER -