计算机工程与应用Issue(11)：241-245,5.DOI:10.3778/j.issn.1002-8331.1312-0431
模糊神经网络变幅液压系统故障诊断
Fuzzy neural network variable amplitude hydraulic system fault diagnosis
摘要
Abstract
For variable amplitude hydraulic system complexity, uncertainty, ambiguity, it proposes fuzzy neural network based on fault tree as a method for variable amplitude hydraulic system fault diagnosis. The method extracts fault diagnosis input and output variables of variable amplitude hydraulic system using fault tree knowledge, introducing the concept of fuzzy logic, fuzzy membership functions to describe the extent to which these failures, using fuzzy membership functions to describe the extent of these failures, using Levenberg-Marquardt algorithm to train the neural network system, getting a better performance in inference speed and fault-tolerant, and analyzing and verifying the effectiveness of variable ampli-tude hydraulic system fuzzy neural network fault diagnosis through case.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..模糊神经网络变幅液压系统故障诊断[J].计算机工程与应用,2014,(11):241-245,5.基金项目
国家科技支撑计划项目（No.2011BAJ02B00）。 （）
