Browse > Article

Fault Pattern Analysis and Restoration Prediction Model Construction of Pole Transformer Using Data Mining Technique  

Hwang, Woo-Hyun (국립서울산업대학교 산업정보시스템전공)
Kim, Ja-Hee (국립서울산업대학교 정보시스템공학과)
Jang, Wan-Sung (한국전력공사 배전계획처)
Hong, Jung-Sik (국립서울산업대학교 정보시스템공학과)
Han, Deuk-Su (한국전력공사)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.9, 2008 , pp. 1507-1515 More about this Journal
Abstract
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.
Keywords
Pole Transformer; Data mining; Decision Tree; CART; Pole Transformer Fault Pattern; Fault Restoration Prediction Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 0
연도 인용수 순위
1 한국전력, 배전실무 교육교재 , 2004 - 2007
2 한국전력(중앙교육원), 배전실무반 교육용 교재, 2007
3 H. Manjari Dola, "Data mining for Distribution System Fault Classification", Power Symposium, Proceedings of the 37th Annual North American, IEEE, pp 457 - 462, 2005
4 임영문, " CART 알고리즘을 이용한 전공이탈자 예측 모형에 관한 연구", 한국산업경영시스템학회, 추계학술대회, pp 259 - pp 262, 2006
5 김경열외 4인, 분광 광도법 및 전기분석법을 이용한 절연유의 경년열화 진단에 관한 연구', 조명 전기설비 학회 제12권 제2호, pp 15 - 20, 1998
6 송영석, "의사결정나무모형을 이용한 편마암 지역에서 의 급경사지 재해예측기법 개발", EG학회지, Vol 18, No. 1, pp 45 - pp 54, 2008   과학기술학회마을
7 송현선, "주상변압기 열화진단을 위한 원격 측정", 조명전기설비 학회 논문지 제17권 제 1호, 2003
8 한국전력, '배전설비고장분석 및 예방대책', 2004 - 2007
9 Young-Han Yoon, "Development of A Deterioration Diagnosis Device For Pole Transformer Using Signal Processing And Wireless communication", IEEE, Power Engineering Society Summer Meeting, pp 1147 - pp 1152, 2000
10 곽희로외 4인, "가스분석에 의한 주상변압기 예방진단 에 관한 연구", 조명전기설비학회지", 제10권 제5호 pp 94 - 99, 1996
11 변성규, "데이터마이닝기법을 이용한 제조공정내의 불 량항목별 예측방법, Journal of the Society of KISE, Vol,27 No. 2, pp 10 - pp 16, 2004
12 배화수 외, "SAS Enterprise Miner를 이용한 데이터 마이닝, 교우사, 2005
13 최종후 외, Answer Tree 3.0을 이용한 데이터마이닝 예측 및 활용, SPSS 아카데미, 2002
14 이형래, " 예측율 향상을 위한 데이터마이닝 기법에 관한 연구", 국방대학교, 2005
15 A.S Farag, "Diagnosing Failed Distribution Transformers Using Neural Networks", IEEE Transactions on Power Delivery, Vol. 16, No. 4. pp 631 - pp 636, 2001   DOI   ScienceOn