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Fault Diagnosis of Power Converter for Switched Reluctance Motor based on Discrete Degree Analysis of Wavelet Packet Energy
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  • Fault Diagnosis of Power Converter for Switched Reluctance Motor based on Discrete Degree Analysis of Wavelet Packet Energy
  • Fault Diagnosis of Power Converter for Switched Reluctance Motor based on Discrete Degree Analysis of Wavelet Packet Energy
저자명
Gan. Chun,Wu. Jianhua,Yang. Shiyou
간행물명
Journal of international Conference on Electrical Machines and Systems
권/호정보
2013년|2권 3호|pp.336-341 (6 pages)
발행정보
대한전기학회 분과
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Power converter plays a very important role in switched reluctance motor (SRM) systems, and it is also the easiest one to experience failures. Power converter faults will cause the motor to run in non equilibrium states, and a long time fault operation will lead to motor and other modules damaged, and make the system completely lose working stability. This paper uses an asymmetric bridge converter as the research object with three-phase SRM, employs the wavelet packet decomposition for the phase currents. It analyzes and studies the short circuit fault condition of IGBT, uses an energy discrete degree of the wavelet packet nodes as the fault characteristic, and conducts the corresponding experimental and simulation analysis to verify the effectiveness and practicality of the proposed method.