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智能故障诊断专家系统开发平台研制
引用本文:杨兴,朱大奇,桑庆兵,史慧,郭今昌. 智能故障诊断专家系统开发平台研制[J]. 控制工程, 2005, 0(Z2)
作者姓名:杨兴  朱大奇  桑庆兵  史慧  郭今昌
作者单位:江南大学控制科学与工程研究中心 江苏无锡214122(杨兴,朱大奇,桑庆兵),北京航天测控技术公司故障诊断技术部 北京100830(史慧),北京航天测控技术公司故障诊断技术部 北京100830(郭今昌)
基金项目:江苏省自然科学基金资助项目(2004BK021)总装备部国防预研基金资助项目(413170203)
摘    要:针对故障诊断专家系统实用性与通用性的矛盾,在简要分析专家系统工作原理的基础上,提出了一种以用户为中心的通用性故障诊断专家系统设计方案。研制通用性故障诊断专家系统开发平台,将规则推理、模糊决策、多传感器信息融合算法融为一体,形成阶梯式故障推理机制;对不同的诊断对象,只要设置好必要知识模块,就可自行生成专用故障诊断系统,并能自动输出诊断结果。

关 键 词:专家系统  故障树  规则推理  模糊决策  信息融合  故障诊断

General Fault Diagnosis Expert System Development Platform
YANG Xing,ZHU Da-qi,SANG Qing-bing,SHI Hui,GUO Jin-chang Research Centre of Control Science and Engineering,Southern Yangtze University,Wuxi ,China, Fault Diagnosis Technology Department,Beijing Aerospace Measurement , Control Technology Company,Beijing ,China. General Fault Diagnosis Expert System Development Platform[J]. Control Engineering of China, 2005, 0(Z2)
Authors:YANG Xing  ZHU Da-qi  SANG Qing-bing  SHI Hui  GUO Jin-chang Research Centre of Control Science  Engineering  Southern Yangtze University  Wuxi   China   Fault Diagnosis Technology Department  Beijing Aerospace Measurement & Control Technology Company  Beijing   China
Affiliation:YANG Xing,ZHU Da-qi,SANG Qing-bing,SHI Hui,GUO Jin-chang Research Centre of Control Science and Engineering,Southern Yangtze University,Wuxi 214122,China, Fault Diagnosis Technology Department,Beijing Aerospace Measurement & Control Technology Company,Beijing 100830,China
Abstract:In order to overcome the contradiction between practicality and generality for fault diagnosis expert system, the design of user-centered general fault diagnosis expert system based on user is presented after the expert system is introduced concisely. Rule reasoning, fuzzy decision and information fusion algorithm are merged, and the hierarchical fault diagnosis method is accomplished. For different object, when necessary knowledge is given, a special fault diagnosis system will he automatically produced, and the diagnosis result will be given.
Keywords:expert system  fault tree  rule reasoning  fuzzy decision  infonnation fusion  fault diagnosis
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