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Vibration signature analysis for monitoring rotor broken bar in double squirrel cage induction motors based on wavelet analysis

Rosario Miceli (Dipartimento di Energia, ingegneria dell’Informazione e modelli Matematici (DEIM), University of Palermo, Palermo, Italy)
Yasser Gritli (Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, University of Bologna, Bologna, Italy and University of Carthage, National Institute of Applied Sciences and Technologies, Carthage, Tunisia)
Antonino Di Tommaso (Dipartimento di Energia, ingegneria dell’Informazione e modelli Matematici (DEIM), University of Palermo, Palermo, Italy)
Fiorenzo Filippetti (Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, University of Bologna, Bologna, Italy)
Claudio Rossi (Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”, University of Bologna, Bologna, Italy)
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Abstract

Purpose

The purpose of this paper is to present a diagnosis technique, for rotor broken bar in double cage induction motor, based on advanced use of wavelet transform analysis. The proposed technique is experimentally validated.

Design/methodology/approach

The proposed approach is based on a combined use of frequency sliding and wavelet transform analysis, to isolate the contribution of the rotor fault components issued from vibration signals in a single frequency band.

Findings

The proposed technique is reliable for tracking the rotor fault components over time-frequency domain. The quantitative analysis results based on this technique are the proof of its robustness.

Research limitations/implications

The validity of the proposed diagnosis approach is not limited to the analysis under steady-state operating conditions, but also for time-varying conditions where rotor fault components are spread in a wide frequency range.

Practical implications

The developed approach is best suited for automotive or high power traction systems, in which safe-operating and availability are mandatory.

Originality/value

The paper presents a diagnosis technique for rotor broken bar in double cage induction motor base on advanced use of wavelet transform which allows the extraction of the most relevant rotor fault component issued from axial vibration signal and clamping it in a single frequency bandwidth, avoiding confusions with other components and false interpretations.

Keywords

Acknowledgements

This work was supported by SDESLab (Sustainable Development and Energy Savings Laboratory)-University of Palermo and by MIUR.

Citation

Miceli, R., Gritli, Y., Di Tommaso, A., Filippetti, F. and Rossi, C. (2014), "Vibration signature analysis for monitoring rotor broken bar in double squirrel cage induction motors based on wavelet analysis", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 33 No. 5, pp. 1625-1641. https://doi.org/10.1108/COMPEL-09-2013-0304

Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited