基于铁路设备故障诊断专家系统研究--模糊推理原型分析

evices of the railway signaling in station are significant controlling facilities in the railway transportation, which require high stability and security while working. In order to guarantee the security of the railway signal devices, it is very important to take essential measures to monitor and diagnose its operation state, especial the fault state. In order to ensure the railway transportation security, it is one of the great subjects requiring urgent study to use new techniques to realize monitoring the state and diagnosing the fault of the railway signal devices. The computer monitoring system of the railway station signal devices in our country has been already in the extensive application of the whole way at present, most station can realize to monitor the status information in real time, but the DSS of fault diagnoses is still at a stage of researching and developing。Aiming at developing and analyzing of a prototype system, this paper compares knowledge expressing methods that is object-oriented and that is rule-based and uses concept of judge trees, and compares reasoning methods that is based on fuzzy rules and fuzzy decision trees. On the basis of the characteristic of the device fault descriptions and mechanism of the railway signaling in station, it utilizes the developing tool of the expert system to set up the knowledge base and comprehensive database, and carries on simulation analysis。