计算机应用研究Issue(2)：439-442,4.DOI:10.3969/j.issn.1001-3695.2015.02.026
模糊神经网络抓斗纠偏系统故障诊断
Grab correction system fault diagnosis based on fuzzy neural network
摘要
Abstract
For the complexity,uncertainty,ambiguity grab correction system,this paper proposed fuzzy neural network based fault tree as a method for grab correction system fault diagnosis.The method extracted fault diagnosis input and output varia-bles of grab correction system by using fault tree knowledge.It introduced the concept of fuzzy logic,used fuzzy membership functions to describe the degree of failures.It used Levenberg-Marquardt algorithm to train the neural network system,got a better performance in inference speed and fault-tolerant.The experiments verify the effectiveness of fault diagnosis grab correc-tion system based on fuzzy neural network.关键词
故障诊断/故障树/模糊神经网络Key words
fault diagnosis/fault tree/fuzzy neural network分类
信息技术与安全科学引用本文复制引用
冯文洁,李万莉,嘉红霞..模糊神经网络抓斗纠偏系统故障诊断[J].计算机应用研究,2015,(2):439-442,4.基金项目
国家科技支撑计划资助项目 （）
