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A Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet TransformAKTAS, M.
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discrete wavelet transforms, wavelet packets, fault diagnosis, electric vehicles, permanent magnet motors
motor(22), power(18), synchronous(14), permanent(14), control(14), magnet(13), electric(13), fault(12), wavelet(11), system(11)
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About this article
Date of Publication: 2012-11-30
Volume 12, Issue 4, Year 2012, On page(s): 33 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.04005
Web of Science Accession Number: 000312128400005
SCOPUS ID: 84872785446
The paper proposes a novel method, based on wavelet decomposition, for detection and diagnosis of faults (switch short-circuits and switch open-circuits) in the driving systems with Field Oriented Controlled Permanent Magnet Synchronous Motors (PMSM) of Hybrid Electric Vehicles. The fault behaviour of the analyzed system was simulated by Matlab/SIMULINK R2010a. The stator currents during transients were analysed up to the sixth level detail wavelet decomposition by Symlet2 wavelet. The results prove that the proposed fault diagnosis system have very good capabilities.
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