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http://dx.doi.org/10.4313/JKEM.2005.18.8.766

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

Park, Seong-Hee (충북대학교 전기공학과)
Lim, Kee-Joe (충북대학교 전기공학과)
Kang, Seong-Hwa (충청대학 소방안전과)
Publication Information
Journal of the Korean Institute of Electrical and Electronic Material Engineers / v.18, no.8, 2005 , pp. 766-771 More about this Journal
Abstract
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.
Keywords
Stator coil; Traction motor; PD; NN;
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