Detection of broken rotor bars in squirrel cage induction motor using filter and wavelet analysis

نویسندگان

  • Hongyu Zhu
  • Jingtao Hu
  • Lei Gao
  • Hao Huang
چکیده

A new method has been developed for the detection of broken rotor bars fault in squirrel cage induction motor during startup regimes. The incipient detection of fault is made by using DWT analysis of FIR low pass filtered original startup transient current signal. The extracted particular characteristic evolution of the time-varying signal is used as a fault index. The method was tested using healthy and damaged 3.0kW squirrel cage induction motors under no-load conditions. The results indicate that the method yields a high degree of performance in fault identification.

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تاریخ انتشار 2014