한국전기전자재료학회논문지 (Journal of the Korean Institute of Electrical and Electronic Material Engineers)

  • 제18권8호
  • /
  • Pages.766-771
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  • 2005
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  • 1226-7945(pISSN)
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  • 2288-3258(eISSN)
한국전기전자재료학회 (The Korean Institute of Electrical and Electronic Material Engineers)
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견인전동기용 고정자 코일의 Off-line 부분방전 진단을 위한 NN의 적용

An Application of NN on Off-line PD Diagnosis to Stator Coil of Traction Motor

  • 발행 : 2005.08.01
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초록

In this study, PD(partial discharge) signals which occur at stator coil of traction Motor are acquired these data are used for classifying the PD sources. NN(neural network) has recently applied to classify the PD pattern. The PD data are used for the learning process to classify PD sources. The PD data come from normal specimen and defective specimens such as internal void discharges, slot discharges and surface discharges. PD distribution parameters are calculated from a set of the data, which is used to realize diagnostic algorithm. NN which applies distribution parameters is useful to classify the PD patterns of defective sources generating in stator coil of traction motor.

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참고문헌

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