摘要
文章介绍了当前一些常用的智能故障诊断技术及其相应的局限性;提出了一种综合运用模糊系统、神经网络及专家系统知识的综合型智能故障诊断方法———基于神经模糊网络和专家系统技术的故障诊断系统,并对该系统的结构、函数及迭代算法等进行了详细的讨论和研究。
Some common synthetic intelligent fault diagnosis methods and their limitations are introduced first, then presented is a new method of fault diagnosis with synthetic intelligence which combines the fuzzy system,the artificial neural network,and the expert system a fault diagnosis system based on the fuzzy neural network（FNN） and the expert system technology. A detailed discussion is made on its structure, functions,and iterative algorithm.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第9期1104-1107,共4页
Journal of Hefei University of Technology：Natural Science
基金
安徽省"十五"二期科技攻关计划资助项目(040120492)
关键词
故障诊断
模糊系统
人工神经网络
专家系统
fault diagnosis
fuzzy system
artificial neural network
expert system
