[1] Dong Lixin, Xiao Dengming, Liu Yilu,. Insulation fault diagnosis based on group grey relational gradeanalysis method for power transformers [J]. Journal of Southeast University (English Edition), 2005, 21 (2): 175-179. [doi:10.3969/j.issn.1003-7985.2005.02.012]

Copy

Insulation fault diagnosis based on group grey relational gradeanalysis method for power transformers()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

21

Issue:

2005 2

Page:

175-179

Research Field:

Electrical Engineering

Publishing date:

2005-06-30

Info

Title:

Insulation fault diagnosis based on group grey relational gradeanalysis method for power transformers

Author(s):

Dong Lixin¹;  Xiao Dengming¹;  Liu Yilu²

¹Institute of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
²Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA

Keywords:

dissolved gases analysis;  group grey relational grade;  fault diagnosis

PACS:

TM41;TM855

DOI:

10.3969/j.issn.1003-7985.2005.02.012

Abstract:

Utilising dissolved gases analysis, a new insulation fault diagnosis method for power transformers is proposed.This method is based on the group grey relational grade analysis method.First, according to the fault type and grey reference sequence structure, some typical fault samples are divided into several sets of grey reference sequences.These sets are structured as one grey reference sequence group.Secondly, according to a new calculation method of the grey relational coefficient, the individual relational coefficient and grade are computed.Then according to the given calculation method for the group grey relation grade, the group grey relational grade is computed and the group grey relational grade matrix is structured.Finally, according to the relational sequence, the insulation fault is identified for power transformers.The results of a large quantity of instant analyses show that the proposed method has higher diagnosis accuracy and reliability than the three-ratio method and the traditional grey relational method.It has good classified diagnosis ability and reliability.

References:

[1] Xu W, Wang D, Zhou Z, et al.Fault diagnosis of power transformers:application of fuzzy set theory, expert systems and artificial neural networks[J].Science, Measurement and Technology, IEE Proceedings, 1997, 144(1):39-44.
[2] Li Honglei, Xiao Dengming, Chen Yazhu.Wavelet ANN based transformer fault diagnosis using gas-in-oil analysis [A].In:Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials [C].Xi’an, China, 2000, 1:147-150.
[3] Li Tianyun, Ying Hong, Zhang Yuhui.The grey fault diagnosis of transformer [J].Automation of Electric Power Systems, 1996, 20(11):27-31.(in Chinese)
[4] Deng Julong.The basic method of grey system [M].Wuhan:Huazhong University of Science and Technology Press, 1987.(in Chinese)
[5] Deng Julong.The basic of grey theory [M].Wuhan:Huazhong University of Science and Technology Press, 2002.(in Chinese)
[6] Zheng Haiping, Sun Caixin, Li Jian, et al.A model and method of degree of grey incidence analysis on transformer fault diagnosis[J].Proceedings of the CSEE, 2001, 21(10):106-109.(in Chinese)
[7] Song Bin, Yu Ping, Luo Yunbai, et al.Study on the fault diagnosis of transformer based on the grey relational analysis [J].Power System Technology, 2002, 4(6):2231-2234.
[8] Dong M, Yan Z, Taniguchi Y.Fault diagnosis of power transformer based on model-diagnosis with grey relation [A].In:Proceedings of the 7th International Conference on Properties and Applications of Dielectric Materials [C].Nagoya, Japan, 2003, 3:1158-1161.
[9] Lin C E, Ling J M, Huang C L.An expert system for transformer fault diagnosis using dissolved gas analysis [J].IEEE Transactions on Power Delivery, 1993, 8(1):231-238.
[10] Tu Yanming, Qian Zheng.DGA based insulation diagnosis of power transformer via ANN [A].In:Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials [C].Xi’an, China, 2000, 1:133-136.

Memo

Memo:

Biographies: Dong Lixin(1976—), male, graduate;Xiao Dengming(corresponding author), male, professor, dmxiao@sjtu.edu.cn.

Common functions