Journal of Northeastern University ›› 2010, Vol. 31 ›› Issue (12): 1701-1704.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Fault diagnosis of broken rotor bars of induction motors via Hilbert transform and wavelet packet energy analysis

Feng, Jian (1); Cao, Jian-Gang (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-12-15 Published:2013-06-20
  • Contact: Feng, J.
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Abstract: Broken rotor bar fault of squirrel-cage motor is one of the most frequent faults, to which a new method of fault diagnosis was proposed via combining the Hilbert transform with wavelet packet energy analysis. By Hilbert transform, the DC component in the stator current is eliminated. The problem that the characteristic component of the fault of broken rotor bar is easy to be annihilated by fundamental wave and difficult to detect is addressed. Then, the fault was identified by wavelet packet energy analysis and the experimental results demonstrated the effectiveness of this method.

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