Browse > Article
http://dx.doi.org/10.5370/KIEEP.2012.61.4.228

A Monitoring Algorithm using FCM and ELM for Power Transformer  

Ji, Pyeong-Shik (한국교통대학교 전기공학과)
Lim, Jae-Yoon (대덕대학교 전기과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.61, no.4, 2012 , pp. 228-233 More about this Journal
Abstract
In power system, substation facilities have become too complex and larger according to an extended power system. Also, customers require the high quality of electrical power system. However, some facilities become old and often break down unexpectedly. The unexpected failure may cause a break in power system and loss of profits. Therefore it is important to prevent abrupt faults by monitoring the condition of power systems. Among the various power facilities, power transformers play an important role in the transmission and distribution systems. In this research, we develop intelligent diagnosis technique for monitoring of power transformer by FCM(Fuzzy c-means) and ELM(Extreme Learning Machine). The proposed technique make it possible to diagnosis the faults occurred in transformer. To demonstrate the validity of proposed method, various experiments are performed and their results are presented.
Keywords
DGA; Diagnosis; ELM; FCM; Power transformer;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Bezdec, J.C., Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981.
2 G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: a new learning scheme of feedforward neural networks," in Proc. 2004 IEEE Int. Conf. Neural Networks, Vol. 2, pp. 985-990, 2004.
3 G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: theory and applications," Neurocomputing, Vol. 70, No. 1-3, pp. 489-501, 2006.   DOI   ScienceOn
4 Z. Yan, M. Dong, Y. Shang, M. Muhr, "Ageing Diagnosis and Life Estimation of Paper Insulation for Operating Power Transformer", International Conference on Solid Dielectrics, Vol. 2, pp. 715-718, 2004.
5 Zhenyuan Wang, Yilu Liu, Paul J. Griffin, "A Combined ANN and Expert System Tool for Transformer Fault Diagnosis", IEEE Transactions on Power Delivery, Vol. 13, No. 4, pp. 1224-1229, 1998.   DOI   ScienceOn
6 Ganyun Kv, Haozhong Cheng, Haibao Zhai, Lixin Dong, "Fault diagnosis of power transformer based on multi-layer SVM classifier", Electric Power System Research, Vol. 75, pp. 9-15, 2005.   DOI   ScienceOn
7 Q. Su, L. L. Lai, P. Austin, "A Fuzzy Dissolved Gas Analysis Method for the Diagnosis of Multiple Incipient in a Transformer", International Conference on Advances in Power System Control, Operation and Management(APSCOM), pp. 344-348, 2000
8 A. Abu-Siada, S. Islam, "A New Approach to Identify Power transformer Criticality and Asset Management Decision Based on Dissolve Gas-in-Oil Analysis", IEEE Tran. on Dielectrics and Electrical Insulation, Vol. 19, No. 3, pp. 1007-1012, 2012.   DOI   ScienceOn
9 W. H. Tang, J. Y. Goulermas, Q. H. Wu, Z. J. Richardson, J. Fitch, "A Probabilistic Classifier for Transformer Dissolved Gas Analysis With a Partical Swarm Optimizer", IEEE Tran. on Power Delivery, Vol. 23, No. 2, pp. 751-759, 2008   DOI   ScienceOn
10 Ke Meng, Z. Y. Dong, D. H. Wang, K. P. Wong, "A Self-Adaptive RBF Neural Network Classifier for Transformer Fault Analysis", IEEE Tran. on Power Delivery, Vol. 25, No. 3, pp. 1350-1360, 2010
11 Fu Yang, Jin Xi, Lan Zhida, "A neural network approach to power transformer fault diagnosis", ICEMS 2003, Electrical Machines and Systems, Vol. 1, pp. 351-354, 2003.
12 문종필, 김재철, 임태훈, "실리콘 유입변압기 진단을 위한 전문가시스템 개발", 조명․전기설비학회논문지, Vol.18, No.1, pp. 55-62, 2004.
13 Pyeong Shik Ji, Jae Yoon Lim; Jong Pil Lee, "Aging characteristics of power transformer oil and development of its analysis using KSOM", TENCON 99, Proceedings of the IEEE Region, Vol. 2, pp. 1026-1029, 1999.
14 최인혁, 정길조, 권동진, 신명철, "가스분석기법을 이용한 전력용 변압기 내부 이상진단을 위한 알고리즘 및 전문가시스템 개발", 조명․전기설비학회 논문지, Vol. 15, No. 5, pp. 68-74, 2001.