PROJECT TITLE :

Wavelet Packet Decomposition-Based Fault Diagnosis Scheme for SRM Drives With a Single Current Sensor

ABSTRACT:

Power converters are a key, however vulnerable component in switched reluctance motor (SRM) drives. During this paper, a replacement fault diagnosis theme for SRM converters is proposed based mostly on the wavelet packet decomposition (WPD) with a dc-link current sensor. Open- and short-circuit faults of the power switches in an asymmetrical [*fr1]-bridge converter are analyzed in details. In order to get 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 therefore 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 because the fault coefficient. The converter faults will be diagnosed and located directly by determining the changes in the discrete degree from the detected currents. The proposed scheme needs only one current sensor in the dc link, whereas standard methods need one sensor for every section or additional detection circuits. The experimental results on a 750-W 3-part SRM are presented to verify the effectiveness of the proposed fault diagnosis scheme.


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