案例推理的故障诊断技术研究综述  

Survey of Fault Diagnosis Based on Case Reasoning

作　　者：柳玉[1] 贲可荣 

机构地区：[1]海军工程大学计算机工程系,武汉430033

出　　处：《计算机科学与探索》2011年第10期865-879,共15页Journal of Frontiers of Computer Science and Technology

基　　金：国家预研基金~~

摘　　要：基于案例推理(case-based reasoning,CBR)的故障诊断作为一种新的智能诊断技术,模拟人类求解问题的思路,通过历史案例发现新问题的解。概述了CBR的理论基础和基本原理;从工作过程和集成框架两个方面综述了CBR故障诊断技术的研究现状,其中工作过程包括案例的表示、检索和重用,以及案例库的维护,集成框架包括CBR与基于规则推理、CBR与人工神经网络以及CBR与多智能体等三种情况;比较了六种故障诊断技术的特点及应用范围;总结了CBR故障诊断技术有待解决的问题。Fault diagnosis of case-based reasoning （CBR） as a novel intelligent technology can simulate the behavior of human in solving problems to find out the resolution for new ones. This paper outlines the theoretical basis and basic principles of CBR. Further, it surveys recent research for fault diagnosis of CBR from two aspects as working process and integrated framework, the former includes representation, retrieval and reuse of cases, as well as maintenance of case-base, and the latter has CBR with rule-based reasoning, artificial neural network or multi-agent system. Finally, the paper gives the characteristics and applications for six kinds of methods to fault diagnosis, and points the future research fields.

关 键 词：人工智能 基于案例的推理 故障诊断 多智能体 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]