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논문 기본 정보

자료유형
학술저널
저자정보
Nabil Ngote (Ecole Nationale de l’Industrie Minéale) Said Guedira (Ecole Nationale de l’Industrie Minérale) Mohamed Cherkaoui (Ecole Mohammadia d’Ingénieurs) Mohammed Ouassaid (Ecole Nationale des Sciences Appliquées)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.2
발행연도
2014.3
수록면
559 - 568 (10page)

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초록· 키워드

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Induction motors are critical components in industrial processes since their failure usually lead to an unexpected interruption at the industrial plant. The studies of induction motor behavior during abnormal conditions and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. In this regard, an efficient and new method to detect the induction motor-fault may be the application of the Time Synchronous Averaging (TSA) to the stator current Park’s Vector. The aim of this paper is to present a methodology by which defects in a three-phase wound rotor induction motor can be diagnosed. By exploiting the cyclostationarity characteristics of electrical signals, the TSA method is applied to the stator current Park’s Vector, allowing the monitoring of the induction motor operation. Simulation and experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the hybrid Park’s Vector-TSA approach.

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Abstract
1. Introduction
2. The MCSA Method
3. Park Vector Theory
4. Time Synchronous Averaging
5. Dynamic Model of Induction Machine
6. Simulation Results
7. Experimental Results
8. Conclusion
References

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