The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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Fault Detection and Diagnosis Systems of Induction Machines using Real-Time Stochastic Modeling Approach

실시간 확률 모델링 기법을 이용한 유도기기의 고장검출 및 진단시스템

  • 이진우 (동아대학교 전기공학과) ;
  • 김광수 (동아대학교 전기공학과) ;
  • 조현철 (울산과학대학 전기전자학부) ;
  • 이영진 (한국폴리텍 항공대학 항공전기과) ;
  • 이권순 (동아대학교 전기공학과)
  • Published : 2009.09.01
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Abstract

This paper presents stochastic methodology based fault detection algorithm for induction motor systems. We measure current of healthy induction motors by means of hall sensor systems and then establish its probability distribution. We propose online probability density estimation which is effective in real-time implementation due to its simplicity and low computational burden. In addition, we accomplish theoretical analysis of the proposed estimation to demonstrate its convergence property by using statistical convergence and system stability theories. We apply our fault detection approach to three-phase induction motors and achieve real-time experiment for evaluating its reliability and practicability in industrial fields.

Keywords

References

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