Improved Fuzzy Evaluation Based on BP Network Membership Function of the Transformer Condition Assessment
TANG Lin
ZHANG Hongpeng
Abstract：Through analyzing the current situation of the present domestic state overhaul of electric power transformer , based on the fuzzy theory ,a method is presented that is used for training the membership of fuzzy comprehensive evaluation combined with BP neural network algorithm to optimize membership function to evaluate the working state of power trans ‐former .The method according to the influencing factors of transformer health status and its internal components ,the relation between the parameters provided by the transformer ,the training samples of BP neural network are used to train good opti‐mal membership functions ,which can be used for judging the health status of the corresponding internal device .It is verified that the results of fuzzy method of combining the BP neural network algorithm evaluation have more accuracy than the results of fuzzy theory to evaluate .
Keywords：status assessmentfuzzy comprehensive evaluationBP neural network
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 414-417 )