故障诊断专家系统及其发展  

A Survey on Fault Diagnosis Expert Systems

作　　者：安茂春[1] 

机构地区：[1]北京系统工程研究所,北京100101

出　　处：《计算机测量与控制》2008年第9期1217-1219,共3页Computer Measurement &Control

摘　　要：文章对主要的故障诊断专家系统进行了系统的归纳和分类,主要关注故障诊断专家系统在军事领域的应用;重点讨论了基于规则的诊断专家系统、基于模型的诊断专家系统、基于人工神经网络的诊断专家系统、基于模糊推理的诊断专家系统和基于事例的诊断专家系统的技术要点、发展现状、优缺点及其在军事方面的应用;最后,对该学科的发展做出了预测,指出基于多种模型结合的诊断专家系统、分布式诊断专家系统、实时诊断专家系统是今后的发展方向。In this article we present a survey of fault diagnosis expert systems, and categorize them into 5 different types according to knowledge organization method and reasoning mechanism, which are rule-based fault diagnosis expert system, model-based fault diagnosis expert system, neural network fault diagnosis expert system, fuzzy fault diagnosis expert system and case-based fault diagnosis expert system, for each type we describe its technical properties, current status, advantages and disadvantages, and applications in military field. At the end of this article, we point out that hybrid model-based, distributed and real-time diagnosis expert systems are future directions.

关 键 词：专家系统 故障诊断 军事应用 基于规则推理 建模技术 人工神经网络 模糊推理 基于事例推理 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]