A novel fault diagnosis expert system knowledge acquisition method of metro vehicle equipments

This paper is to propose a fault knowledge acquisition method for metro vehicles fault diagnosis at present, the lack of metro vehicles fault diagnosis knowledge and the difficulty of acquiring the fault diagnosis knowledge hinder the development of fault diagnosis for metro vehicles. On the basis of profounding analysis of the mechanism for the forming of metro vehicle faults, this method is to design a new fault diagnosis models and simulations. Then simulating results are to comprehensively analyzed and transformed into fault diagnosis knowledge available for the expert system. It´s proved by application that this method improves the reliability of fault information acquisition, which attaches great importance in fault knowledge acquisition for complicated equipment, especially for equipment of metro vehicles.