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在铁路电气集中联锁设备的故障诊断应用中,传统人工故障检测异常繁杂和困难,介绍将基于规则推理和CBR推理应用到其故障诊断的方法。首先分析基于规则推理和基于事例推理各自的优势,然后根据6502电气集中联锁设备各个不同检查点的特点,采用以基于规则和基于事例推理的混合推理系统,并建立起各自推理模型。
In the fault diagnosis application of railway electric centralized interlocking equipment, the traditional manual fault detection is extremely complicated and difficult. The method of applying rule-based reasoning and CBR reasoning to fault diagnosis is introduced. Firstly, the advantages of rule-based reasoning and case-based reasoning are analyzed. Based on the characteristics of different checkpoints in 6502 electrical interlocking equipment, a hybrid reasoning system based on rule-based and case-based reasoning is established and their respective inference models are established.