Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives

Rosario Miceli, Antonino Oscar Di Tommaso, Yasser Gritli, Di Tommaso, Rosario Miceli, Fiorenzo Filippetti, Miceli, Claudio Rossi

Research output: Contribution to conferenceOtherpeer-review

19 Citations (Scopus)


The paper investigates the diagnosis of rotor broken bars in field oriented controlled (FOC) double cage induction motor drives, using current and vibration signature analysis techniques. The Impact of the closed loop control system cannot be neglected when the detection of asymmetries in the machine are based on the signature analysis of electrical variables. The proposed diagnosis approach is based on optimized use of wavelet analysis by a pre-processing of phase current or axial/radial vibration signals. Thus, the time evolution of the tracked rotor fault components can be effectively analyzed. This paper shows also the relevance of the fault components computed from axial vibration signal in comparison to those coming from phase current and radial vibration signals. Cyclic fault quantification, issued from the wavelet analysis, has been introduced for accurate rotor fault detection. Experimental results show the validity of the proposed technique, leading to an effective diagnosis procedure for rotor broken bar in double cage induction motor.
Original languageEnglish
Number of pages7
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment


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