电气技术  2020, Vol. 21 Issue (10): 77-82    DOI:
电气设备检修与故障诊断 |
利用模糊决策进行电力变压器故障诊断的研究
李志军1,2, 卜冠南3, 卢应强1, 陈昊旻3, 万福2
1.国电南京自动化股份有限公司,南京 211153;
2.重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆 400030;
3.福建工程学院福建省大数据挖掘与应用技术重点实验室,福州 350000
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
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摘要 针对IEC 60599三比值法故障诊断存在的编码缺失以及编码范围局限问题,本文提出了决策树算法和模糊数学方法相结合的模糊决策法,对IEC 60599三比值法进行改进研究,形成新型三比值法。通过决策树算法中的“信息熵”解决三比值法编码缺失问题;通过模糊数学方法构造“隶属函数”解决三比值法编码范围局限问题。通过82组实验数据的仿真分析表明,新型三比值法与IEC 60599三比值法相比,准确率从75.6%提升到87.2%。
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李志军
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关键词 IEC 60599三比值法决策树模糊数学隶属函数新型三比值法    
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.
Key wordsIEC 60599 three ratio method    decision tree    fuzzy mathematics    membership function    new three ratio method   
收稿日期: 2020-03-28     
基金资助:国家自然科学重点基金(U1766217); 重庆市高校优秀成果转化资助项目(KJZH17101)
作者简介: 李志军(1981-),男,湖南省茶陵市人,博士,高级工程师,主要从事电气设备在线监测、评估诊断的研究工作。
引用本文:   
李志军, 卜冠南, 卢应强, 陈昊旻, 万福. 利用模糊决策进行电力变压器故障诊断的研究[J]. 电气技术, 2020, 21(10): 77-82. Li Zhijun, Bu Guannan, Lu Yingqiang, Chen Haomin, Wan Fu. Research on fault diagnosis of power transformer by using fuzzy decision. Electrical Engineering, 2020, 21(10): 77-82.
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