Research Article Open Access

ON THE DETECTION OF OPEN AND SHORT FAULT IN SWITCHED RELUCTANCE MOTOR WITH CLASSIFICATION

V. S. Chandrika1 and A. Ebenezer Jeyakumar1
  • 1 , India

Abstract

Switched reluctance motors are tremendously increasing in usage. Monitoring the motor performance online is essential, in order to maintain the health of the motor as well as for a continual application process carried out by the SRM. Though certain fault detection methods are available based on comparator circuits, those methods are inefficient, because they need human attention to identify the faults. In this study, we propose a wavelet based SRM power drive fault detection and classification using BPN method. The currents flowing in different phases and the known states of all power switches helps us to find out the magnitude of the converter supply current, since an asymmetric bridge converter is used. In this study, short and open circuit fault occurrences in the converter power switches are presented for various coils of the stator windings. The proposed technique is able to detect these faults and identify the affected stator phase as well as the faulty arm along with the the time instant of fault occurrence.

Journal of Computer Science
Volume 10 No. 5, 2014, 884-895

DOI: https://doi.org/10.3844/jcssp.2014.884.895

Submitted On: 24 July 2013 Published On: 23 January 2014

How to Cite: Chandrika, V. S. & Jeyakumar, A. E. (2014). ON THE DETECTION OF OPEN AND SHORT FAULT IN SWITCHED RELUCTANCE MOTOR WITH CLASSIFICATION. Journal of Computer Science, 10(5), 884-895. https://doi.org/10.3844/jcssp.2014.884.895

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Keywords

  • Discrete Wavelet Transforms (DWT)
  • Back Propagation Network (BPN)
  • Switched Reluctance Motor (SRM)