Wavelet packet decomposition-based fault diagnosis scheme for SRM drives with a single current sensor

Chun Gan, Jianhua Wu, Shiyou Yang, Yihua Hu, Wenping Cao

Research output: Contribution to journalArticlepeer-review


Power converters are a key, but vulnerable component in switched reluctance motor (SRM) drives. In this paper, a new fault diagnosis scheme for SRM converters is proposed based on the wavelet packet decomposition (WPD) with a dc-link current sensor. Open- and short-circuit faults of the power switches in an asymmetrical half-bridge converter are analyzed in details. In order to obtain the fault signature from the phase currents, two pulse-width modulation signals with phase shift are injected into the lower-switches of the converter to extract the excitation current, and the WPD algorithm is then applied to the detected currents for fault diagnosis. Moreover, a discrete degree of the wavelet packet node energy is chosen as the fault coefficient. The converter faults can be diagnosed and located directly by determining the changes in the discrete degree from the detected currents. The proposed scheme requires only one current sensor in the dc link, while conventional methods need one sensor for each phase or additional detection circuits. The experimental results on a 750-W three-phase SRM are presented to confirm the effectiveness of the proposed fault diagnosis scheme.
Original languageEnglish
Pages (from-to)303-313
Number of pages11
JournalIEEE Transactions on Energy Conversion
Issue number1
Early online date25 Oct 2015
Publication statusPublished - Mar 2016

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