人工智能基于铁路设备故障诊断专家系统的分析与研究.docxVIP

基于铁路设备故障诊断专家系统的分析与研究 摘 要：铁路信号设备是组织指挥列车运行,提高运输效率,改善行车人员劳动条件的重要设施,同时也成为保障铁路运输安全的关键所在。所以在信号设备出现故障时,如何准确的、及时的判断故障部位,并快速、顺利的排除故障就成为一项重要的研究课题。铁路车站信号设备是铁路运输的重要控制设备，要求必须具有很高的工作稳定性和安全性。为了保证铁路信号设备的安全性，采取必要的措施对其运行状态，尤其是故障状态进行监测和诊断是十分重要的。利用新技术方法，实现铁路信号设备状态监测和故障诊断[4]，是保障铁路运输安全需亟待研究的重大课题之一。目前我国车站信号设备微机监测系统已经在全路广泛应用，绝大部分车站都可实现设备工作状态信息实时监测，而故障诊断决策支持系统仍处于研究开发阶段[2]。论文针对原型系统的开发分析，对面向对象的知识表示方法、基于规则和判定树概念的知识表示方法、基于模糊规则的推理方法、基于模糊决策树的推理方法等进行了比较分析研究。 关键字：故障诊断，专家系统，规则，知识库，模糊推理 Based on railway equipment fault diagnosis expert system analysis and research Instructor: student: SUMMARY: Railway signal equipment is organizing and commanding the train operation, and enhance the transport efficiency, improve driving personnel working conditions of important facilities, but also as a guarantee is the key to the railway transportation. So in the signal equipment malfunction, how accurate, timely judge fault site, and fast, smooth the troubleshooting process becomes an important research topic railway station signal equipment is the important control equipment railway transport, requirements must be high working stability and security. In order to guarantee the safety of railway signal equipment, and take necessary measures for its operation state, especially fault state monitoring and diagnosis is very important. Using new technology method and achieved the railway signal equipment condition monitoring and fault diagnosis, it is safeguard the railway transportation should be studied one of the major issues. At present our country station signal equipment microcomputer monitoring system has been widely used in cr, most of the stations were can realize equipment working state real time monitoring information, and fault diagnosis decision support system is still in its research and development stage. Paper prototype development of system analysis, the object-oriented knowledge representation method, based on rules and decision tree of the concept of knowledge repre