吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (05): 1331-1337.doi: 10.7964/jdxbgxb201305030

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Evaluation of transformer aging based on fuzzy theory and bidirectional associative memory neural networks

MA De-yin, LIANG Yan-chun, GUAN Ren-chu, ZHAO Xiao-she, SHI Xiao-hu   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2012-08-10 Online:2013-09-01 Published:2013-09-01

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Abstract:

A novel method based on fuzzy theory and Bidirectional Associative Memory (BAM) neural networks is proposed to evaluate the transformer aging problem. In this method, first the features of the transformer are fuzzified to deal with their uncertainty problem, and then fuzzy reasoning and defuzzification are performed to evaluate the transformer aging. During the fuzzifying process, because that the electrical characteristics of insulating oil gas and insulating oil are highly personal relied, BAM neural network is used to realize the fuzzification of these two features. To examine the effectiveness of the proposed method, simulation is carried out with real data. Numerical results show that the evaluations of the proposed method highly coincide with the engineering specifications.

Key words: computer application, bidirectional associative memory neural network, fuzzy theory, transformer aging

CLC Number: 

  • TP391.4

[1] 赵继印,郑蕊蕊,刘宇. 基于梯形灰色聚类分析的电力变压器故障诊断[J]. 吉林大学学报:工学版, 2008,38(3):726-730. Zhao Ji-yin, Zheng Rui-rui, Liu Yu. Power transformer fault diagnosis based on trapezium gray clustering analysis[J]. Journal of Jilin University (Engineering and Technology Edition),2008, 38(3): 726-730.

[2] 关根志, 贺景亮. 电气设备的绝缘在线监测与状态维修[J]. 中国电力, 2000, 33(3): 46-50. Guan Gen-zhi, He Jing-liang. Online insulation monitoring techniques and condition based maintenance[J]. Electric Power, 2000, 33(3): 46-50.

[3] 坂林和重. 变压器老化程度的评价基准[J]. 李沛然,译.设备管理&维修,2000,4:38-40. Sakamoto Kazushige. The criterions for the transformer aging evaluation[J]. Li Pei-ran. Shebei Guanli Yu Weixiu, 2000,4:38-40.

[4] 刘有为, 李光范, 高克力,等. 制订电气设备状态维修导则的原则框架[J]. 电网技术, 2003, 27(6): 64-67, 76. Liu You-wei, Li Guang-fan, Gao Ke-li,et a1. Fundamental frame draft guide for condition maintenance of electric power equipment[J]. Power System Technology, 2003, 27(6): 64-67, 76.

[5] 纪航, 朱永利, 郭伟. 基于模糊综合评价的变压器状态评分方法研究[J].继电器, 2006, 34(5): 29-33. Ji Hang, Zhu Yong-li, Guo Wei. Research of trans-former condition grading based on fuzzy synthesis evaluation[J]. Relay, 2006, 34(5): 29-33.

[6] 周春光, 梁艳春. 计算智能[M]. 长春:吉林大学出版社, 2001.

[7] 王占山, 关焕新, 张化光. 时变时滞双向联想记忆神经网络的鲁棒稳定性[J].吉林大学学报:工学版, 2007, 37(6): 1398-1401. Wang Zhan-shan, Guan Huan-xin, Zhang Hua-guang. Robust stability of bidirectional associate memory neural networks with time varying delays[J]. Journal of Jilin University (Engineering and Technology Edition), 2007, 37(6): 1398-1401.

[8] Ma De-yin, Liang Yan-chun, Zhao Xiao-she, et al. Multi-BP expert system for fault diagnosis of power system[J/OL]. Engineering Applications of Artificial Intelligence. http: //dx.doi.org/10.1016/ j.engappai.2012.03.017.

[9] 田玲,刑建国.电气设备实施状态维修决策方法的探讨[J].电网技术, 2004, 28(16): 60-63. Tian Ling, Xing Jian-guo. Discussion on making decision about electric equipment for condition based maintenance[J]. Power System Technology, 2004, 28(16): 60-63.

[10] 廖瑞金, 王谦, 骆思佳, 等. 基于模糊综合评判的电力变压器运行状态评估模型[J]. 电力系统自动化, 2008, 32(3): 70-74. Liao Rui-jin, Wang Qian, Luo Si-jia, et al. Condition assessment model for power transformer in service based on fuzzy synthetic evaluation[J]. Automation of Electric Power Systems,2008, 32(3): 70-74.
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