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.
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.
2020, Vol. 21 
