Synchronous machines are one of the most useful equipments in electrical industry. Permanent Magnet Synchronous Motor (PMSM) is a kind of synchronous machines, which uses iron magnet for its rotor instead of winding (wound field). Preventing electrical faults in electrical derives is often impossible, therefore; designing effective fault detection systems can help to improve its operation. In this paper, minimum distance classifier has been introduced to discriminate inter-turn stator winding fault from normal and phase-to-phase short circuit fault condition. In addition, proposed classifier has been used to detect faulty winding (damaged phase). Discrete samples of magnitude of negative sequence component of three-phase currents have been used for fault discrimination and discrete samples of RMS value of three-phase current have been used for damaged winding detection. Obtained results show that although proposed method is one of the simplest classifier, it can discriminate inter-turn fault from other conditions and detect damaged phase winding in less than one duty cycle
کلید واژگان :Inter-Tern Stator Winding Fault, Effective Pattern, Feature Extraction, Minimum Distance Classifier, RMAS Value Of Three-Phase Currents, Permanent Magnet Synchronous Motor (PMSM), Negative Sequence Component.
ارزش ریالی : 600000 ریال
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جزئیات مقاله
- کد شناسه : 2142840620649109
- سال انتشار : 2011
- نوع مقاله : پذیرفته شده در مجلات Scopus ,ISI, با IF=0
- زبان : انگلیسی
- محل پذیرش : International Review on Modelling and Simulations
- برگزار کنندگان :
- ISSN : 1974-9821
- تاریخ ثبت : 1394/01/18 16:00:06
- ثبت کننده : مهران تقی پور گرجی کلایی
- تعداد بازدید : 302
- تعداد فروش : 0