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基于集成模式的多参数综合智能故障诊断
引用本文:董振兴,史定国,张东山,杨汝清.基于集成模式的多参数综合智能故障诊断[J].华东理工大学学报(自然科学版),2001,27(3):294-296.
作者姓名:董振兴  史定国  张东山  杨汝清
作者单位:1. 上海交通大学机器人研究所,
2. 华东理工大学化工机械研究所,
摘    要:基于产生式规则,事例,模糊诊断,神经网络集成模式,提出了多参数综合智能故障诊断方法,分析了多种诊断方法集成的必要性,以及该方法的知识表示,智能推理诊断及知识学习,应用结果表明这一多参数综合智能故障诊断的方法在实际工程中是行之有效的。

关 键 词:故障诊断  人工智能  神经网络  模糊诊断  产生式规则  知识规则  智能推理诊断
文章编号:1006-3080(2001)03-0294-03
修稿时间:2000年7月10日

Comprehensive Intelligent Fault Diagnosis with Multi-parameters Based on Integrated Model
DONG Zhen xing ,SHI Ding guo ,ZHANG Dong shan ,YANG Ru qing.Comprehensive Intelligent Fault Diagnosis with Multi-parameters Based on Integrated Model[J].Journal of East China University of Science and Technology,2001,27(3):294-296.
Authors:DONG Zhen xing  SHI Ding guo  ZHANG Dong shan  YANG Ru qing
Institution:DONG Zhen xing 1*,SHI Ding guo 2,ZHANG Dong shan 2,YANG Ru qing 1
Abstract:A comprehensive intelligent fault diagnostic method with multi parameters is proposed. This method combines process and vibration parameters, adopts hierarchical and categorized diagnostic strategy and integrates rules based model, cases based model, fuzzy logic and neural networks. The necessity to integrate multiple fault diagnosis approaches is analyzed. Furthermore, the knowledge representation, intelligent inference and knowledge learning of this method are presented. This method has been applied to a condition monitoring and fault diagnosis system. The industry application shows this method is useful and effective.
Keywords:fault diagnosis  artificial intelligence  neural networks  multi  parameter  
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