|
|
|
| Research on fault diagnosis of power transformer by using fuzzy decision |
| Li Zhijun1,2, Bu Guannan3, Lu Yingqiang1, Chen Haomin3, Wan Fu2 |
1. Guodian Nanjing Automation Share Co., Ltd, Nanjing 211153;
2. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030;
3. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350000 |
|
|
|
|
Abstract Aiming at the two problems of missing code and too clear coding range in transformer fault diagnosis by three-ratio method, a comprehensive decision tree and fuzzy mathematics three-ratio fault diagnosis method were proposed. This method solved the coding missing problem in the traditional three-ratio method by using "information entropy" in the decision tree algorithm. The fuzzy function is proposed and membership function is constructed to solve the problem that the coding range is too clear. The simulation analysis of 82 groups of experimental data shows that compared with the traditional ratio method, the accuracy of this method is improved from 76.4% to 88.9% and it is more convenient and operable.
|
|
Received: 28 March 2020
|
|
|
|
| Cite this article: |
|
Li Zhijun,Bu Guannan,Lu Yingqiang等. Research on fault diagnosis of power transformer by using fuzzy decision[J]. Electrical Engineering, 2020, 21(10): 77-82.
|
|
|
|
| URL: |
|
http://dqjs.cesmedia.cn/EN/Y2020/V21/I10/77
|
[1] 中华人民共和国国家质量监督检验检疫总局. GB/T 7252—2001. 变压器油中溶解气体分析和判断导则[S]. 北京: 中国标准出版社, 2004.
[2] 杨振勇. 《变压器油中溶解气体分析和判断导则》判断变压器故障的探讨[J]. 变压器, 2008, 45(10): 24-27.
[3] 陈曦. 变压器油气体分析应采用改良三比值法[J]. 电世界, 2004, 45(7): 33.
[4] 徐康健. 变压器油色谱分析中用三比值法判断故障时应注意的问题[J]. 变压器, 2010, 47(1): 75-76.
[5] 李林, 万志聪. 基于模糊三比值法的电力变压器绝缘故障诊断研究[J]. 浙江电力, 2011, 30(2): 12-14.
[6] 邹杰慧. 基于新型编码隶属函数的变压器故障模糊诊断法[J]. 电力自动化设备, 2010, 30(7): 88-91.
[7] Safavian S R, Landgrebe D.A survey of decision tree classifier methodology[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1991, 21(3): 660-674.
[8] 彭祖赠, 孙韫玉. 模糊(Fuzzy)数学及其应用[M]. 2版. 武汉: 武汉大学出版社, 2007.
[9] 中华人民共和国国家经济贸易委员会. DL/T 722—2000. 变压器油中溶解气体和判断导则[S]. 北京: 中国电力出版社, 2001.
[10] 谌章义, 伍临莉. 应用分类贡献函数的决策树构造方法[J]. 河南科技大学学报: 自然科学版, 2011, 32(2): 48-51.
[11] 周健, 黄昕, 邹剑, 等. 变压器油中溶解气体故障诊断的改进模糊算法[J]. 广东电力, 2015(3): 86-91.
[12] 梁景凯, 曲延滨. 智能控制技术[M]. 哈尔滨: 哈尔滨工业大学出版社, 2016.
[13] 张玉波, 苏星华, 黎大健, 等. 综合三比值特征量与帝国竞争优化支持向量机的变压器故障诊断模型[J]. 广西电力, 2019, 42(3): 57-61.
[14] 许寅卿, 胡炎. 基于改良三比值法的变压器故障模糊综合评判法[J]. 电力与能源, 2017, 38(2): 132-136.
[15] 张卫华, 苑津莎, 张铁峰, 等. 应用B样条理论改进的变压器三比值故障诊断方法[J]. 中国电机工程学报, 2014, 34(24): 4129-4136. |
|
|
|
2020, Vol. 21 
