基于逻辑推理的转子故障诊断专家系统  

Diagnosis Expert System Based on Inference Control

作　　者：宋志航[1] 徐小力[1] 

机构地区：[1]北京信息科技大学北京重点实验室,100192

出　　处：《微计算机信息》2010年第1期99-101,共3页Control & Automation

基　　金：基金申请人:徐小力;项目名称:大型旋转机电系统非平稳状态的故障趋势智能预示技术研究;基金颁发部门:国家自然科学基金委(50375017);北京市人才强教计划资助(PHR)

摘　　要：采用人工智能专家系统计算机技术模拟故障诊断领域专家的推理思维方式,对机械设备发生的故障实现迅速准确的诊断,同时缩短故障停机时间具有重大意义。本文应用Visual prolog语言,构造了转子系统故障诊断专家系统,提出了一阶谓词逻辑子句表达知识的方法,建立了专家知识库。系统的推理机采用深度优先的推理策略。应用表明系统有效完成旋转机械常出现的十多种故障的诊断,并运行可靠。The computer technology of artificial intelligence expert system is being used to simulate inference and thinking mode in the field of fault diagnosis.The fault which occurs to the mechanical device can be diagnosed rapidly and exactly.At the same time,it also has a great significance for shorting the downtime.Applying the Visual Prolog language in this article,fault diagnosis expert system for rotating machinery is constructed.The expert knowledge base is established by the expressing way using the first-order predicate logic clause. The rule in Depth-First Stra＇tegy （DFS） is introduced in the system＇s inference engine. The system completes effectively more than ten kiuds of fault diagnosis that the rotating machinery often appears. The results show the operation is reliable through the application.

关 键 词：转子系统 故障诊断 专家系统 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]