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SAB type train anti-skid braking system which has a high market share is applied to the domestic T type train.In order to improve the efficiency of fault detection and maintenance for the host of train anti-skid device, the expert system of fault detection and localization in component level is designed for the SAB WABCO company's SWKAS20C type train anti-skid device.A multiple fault classifier based on support vector machine is designed by studying analog electronic circuit fault diagnosis technology,The classifier is used to train and test the fault sample data of the host analog circuit, and improve the accuracy of the fault diagnosis by the improved algorithm.A test platform for simulating the running environment of the train is set up to simulate the failure mode of the anti-skid device host in a variety of conditions.The MFC expert system was prepared by using VS2010 development environment.