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Off-line PD Model Classification of Traction Motor Stator Coil Using BP
- 박성희;
- 장동욱;
- 강성화;
- 임기조
초록
Insulation failure of traction motor stator coil depends on the continuous stress imposed on it and knowing its insulation condition is an issue of significance for proper safety operation. In this paper, application of the NN (Neural Network) as a scheme of the off-line PD (partial discharge) diagnosis method that occurs at the stator coil of a traction motor was studied. For PD data acquisition, three defective models were made; internal void discharge model, slot discharge model and surface discharge model. PD data for recognition were acquired from a PD detector. Statistical distributions and parameters were calculated to perform recognition between model discharge sources. These statistical distribution parameters are applied to classify PD sources by the NN with a good recognition rate on the discharge sources."
키워드
- 제목
- Off-line PD Model Classification of Traction Motor Stator Coil Using BP
- 저자
- 박성희; 장동욱; 강성화; 임기조
- 발행일
- 2005-12
- 저널명
- KIEE International Transactions on Electrophysics and Applications
- 권
- 5-C
- 호
- 6
- 페이지
- 223 ~ 227
- 언어
- ENG
- 출판사
- 대한전기학회
- 발행국가
- 대한민국
- 분량
- 5 페이지
- ISSN
- P 1598-2610