摘要
提出了一种基于规则的模糊神经网络专家系统诊断方法，该方法采用了广义三层规则库结构及推理机制，把Ｒｕｌｅ型的模糊联想记忆器作为专家系统的分类和综合算法，使基于规则的知识处理方法与模糊神经网络有机地结合在一起。并讨论了模糊神经网络输入和输出模糊化的问题。为旋转机械故障诊断专家系统提供了一个易于实现的框架结构。
A rule based fuzzy neural network(FNN) fault diagnostic technique is developed. Based on the rule based FAM,the generation three layer rule base and reasoning approach are applied. Therefore, a rule based expert system integrated FNN with symbolic reasoning is constructed. And its input and output vectors are discussed. It provides a frame for building a rotating machinery fault diagnostic expert system.
出处
《机械科学与技术》
EI
CSCD
北大核心
1999年第4期612-614,共3页
Mechanical Science and Technology for Aerospace Engineering
关键词
故障诊断
旋转机械
模糊神经网络
专家系统
Fault diagnosis Rotating machinery Fuzzy neural network Expert syste
