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基于规则的模糊神经网络故障诊断专家系统
引用本文:邱忠宇,史挺进.基于规则的模糊神经网络故障诊断专家系统[J].机械科学与技术(西安),1999,18(4):612-614.
作者姓名:邱忠宇  史挺进
作者单位:浙江大学
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。

关 键 词:故障诊断  旋转机械  模糊神经网络  专家系统

Rule based Fuzzy Neural Network Fault Diagnostic Expert System
Qiu Zhongyu,Shi Tingjing,Zhang Fangji,Gu Huang,Wu Zhaotong.Rule based Fuzzy Neural Network Fault Diagnostic Expert System[J].Mechanical Science and Technology,1999,18(4):612-614.
Authors:Qiu Zhongyu  Shi Tingjing  Zhang Fangji  Gu Huang  Wu Zhaotong
Abstract: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.
Keywords:Fault diagnosis  Rotating machinery  Fuzzy neural network  Expert syste  
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