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根据轨道交通监控系统的特点,结合现有轨道交通车站设备监控系统的架构,运用智能故障诊断方法,为车站设备的维护、检修提供决策依据。针对人工神经网络模型的结构特点,比较几种常用算法的利弊,阐述基于Matlab的神经网络使用方法,讨论智能诊断系统的结构及诊断过程,对车站典型设备的故障进行诊断。
According to the characteristics of rail transit monitoring system and combining with the existing monitoring system of rail transit station equipment, intelligent fault diagnosis method is used to provide decision-making basis for station equipment maintenance and overhaul. Aiming at the structural characteristics of artificial neural network model, the advantages and disadvantages of several commonly used algorithms are compared. The method of using neural network based on Matlab is discussed. The structure and diagnosis process of intelligent diagnosis system are discussed. Faults of typical equipment at station are diagnosed.