基于故障树的故障诊断专家系统设计  

Design of Fault Diagnosis Expert System Based on Fault Tree

作　　者：潘学文 张福生[1] 路超 Pan Xuewen;Zhang Fusheng;Lu Chao(School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学机械工程学院,太原030024

出　　处：《煤矿机械》2021年第3期174-176,共3页Coal Mine Machinery

基　　金：山西省科技平台资助项目(201805D121006)。

摘　　要：根据故障树分析法设计了一种基于故障树的电动无轨胶轮车故障诊断专家系统。利用故障树分析建立了专家知识库,根据知识库中的产生式规则及正向推理策略实现了推理机的设计,最后利用Visual Studio 2015和SQL Server 2012开发了该专家系统,可有效地对电动无轨胶轮车进行故障诊断,具有较好的便捷性和实用性。Based on fault tree analysis,a fault diagnosis expert system for electric trackless rubber-tyred vehicle was designed. According to fault tree analysis,the expert knowledge base was established,and the design of the inference engine was realized according to the production rules in the knowledge base and the forward reasoning strategies. Finally, Visual Studio 2015 and SQL Server 2012 were used to develop this expert system,which can effectively diagnose the fault of electric trackless rubber-tyred vehicle and has good convenience and practicability.

关 键 词：无轨胶轮车 故障诊断 故障树 专家系统 

分 类 号：TD525[矿业工程—矿山机电]