KIEE International Transactions on Electrophysics and Applications

The Korean Institute of Electrical Engineers (대한전기학회)
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Off-line PD Model Classification of Traction Motor Stator Coil Using BP

  • Park Seong-Hee (School of Electrical and Computer Engineering, Chungbuk National University) ;
  • Jang Dong-Uk (Signaling and Electrical Engineering Research Department, Korea Railroad Research Institute) ;
  • Kang Seong-Hwa (Dept. of Fire Prevention Engineering, Chungcheong University) ;
  • Lim Kee-Joe (School of Electrical and Computer Engineering, Chungbuk National University)
  • Published : 2005.12.01
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Abstract

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.

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References

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