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데이터마이닝 기법을 이용한 주상변압기 고장유형 분석 및 복구 예측모델 구축에 관한 연구
黃友炫(Woohyun Hwang),金子姬(Ja-Hee Kim),蔣完成(Wan-Sung Jang),洪渟植(Jung-Sik Hong),韓得洙(Deuk-Su Han) 대한전기학회 2008 전기학회논문지 Vol.57 No.9
It is essential for electric power companies to have a quick restoration system of the faulted pole transformers which occupy most of transformers to supply stable electricity. However, it takes too much time to restore it when a transformer is out of order suddenly because we now count on operator in investigating causes of failure and making decision of recovery methods. This paper presents the concept of 'Fault pattern analysis and Restoration prediction model using Data mining techniques', which is based on accumulated fault record of pole transformers in the past. For this, it also suggests external and internal causes of fault which influence the fault pattern of pole transformers. It is expected that we can reduce not only defects in manufacturing procedure by upgrading quality but also the time of predicting fault patterns and recovering when faults occur by using the result.