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Fault Detection and Diagnosis of Induction Motors using LPC and DTW Methods

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(3), pp.141-148
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

황철희 1 김용민 1 Cheol Hong Kim 2 김종면 1

1울산대학교
2전남대학교

Accredited

ABSTRACT

This paper proposes an efficient two-stage fault prediction algorithm for fault detection and diagnosis of induction motors. In the first phase, we use a linear predictive coding (LPC) method to extract fault patterns. In the second phase, we use a dynamic time warping (DTW) method to match fault patterns. Experiment results using eight vibration data, which were collected from an induction motor of normal fault states with sampling frequency of 8 kHz and sampling time of 2.2 second, showed that our proposed fault prediction algorithm provides about 45% better accuracy than a conventional fault diagnosis algorithm. In addition, we implemented and tested the proposed fault prediction algorithm on a testbed system including TI's TMS320F2812 DSP that we developed.

Citation status

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