计算机与数字工程2016，Vol.44Issue(3)：414-417,4.DOI:10.3969/j.issn.1672-9722.2016.03.007
基于 BP 网络改进模糊评判隶属度函数的变压器状态评估磁
Improved Fuzzy Evaluation Based on BP Network Membership Function of the Transformer Condition Assessment
唐麟 1张宏鹏1
作者信息
- 1. 西安工业大学电子信息工程学院西安 710021
- 折叠
摘要
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 .关键词
状态评估/模糊综合评判/BP神经网络Key words
status assessment/fuzzy comprehensive evaluation/BP neural network分类
信息技术与安全科学引用本文复制引用
唐麟,张宏鹏..基于 BP 网络改进模糊评判隶属度函数的变压器状态评估磁[J].计算机与数字工程,2016,44(3):414-417,4.
