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A Study on the Partial Discharge Pattern Recognition by Use of SOM Algorithm  

Kim Jeong-Tae (대진대 전기정보시스템공학과)
Lee Ho-Keun (대진대 전기정보시스템공학과)
Lim Yoon Seok (한양대 전기공학과)
Kim Ji-Hong (한양대 전기공학과)
Koo Ja-Yoon (한양대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers C / v.53, no.10, 2004 , pp. 515-522 More about this Journal
Abstract
In this study, we tried to investigate that the advantages of SOM(Self Organizing Map) algorithm such as data accumulation ability and the degradation trend trace ability would be adaptable to the analysis of partial discharge pattern recognition. For the purpose, we analyzed partial discharge data obtained from the typical artificial defects in GIS and XLPE power cable system through SOM algorithm. As a result, partial discharge pattern recognition could be well carried out with an acceptable error by use of Kohonen map in SOM algorithm. Also, it was clarified that the additional data could be accumulated during the operation of the algorithm. Especially, we found out that the data accumulation ability of Kohonen map could make it possible to suggest new patterns, which is impossible through the conventional BP(Back Propagation) algorithm. In addition, it is confirmed that the degradation trend could be easily traced in accordance with the degradation process. Therefore, it is expected to improve on-site applicability and to trace real-time degradation trends using SOM algorithm in the partial discharge pattern recognition
Keywords
Partial Discharge; Pattern Recognition; SOM; BP; Kohonen Map;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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