In view of the time-varying, uncertain and spatial distribution of multi-fault feature information input in the fault diagnosis of train intelligent control systems, a system structure of multi-information fusion fault diagnosis for train intelligent control systems is proposed based on the basic concepts of DS evidence theory and the fusion reasoning method of evidence. The multi-information fusion fault diagnosis method for train intelligent control systems based on DS evidence theory is discussed. The results of the fault diagnosis example show that this method can effectively improve the credibility of the diagnosis and reduce the uncertainty of the diagnosis. Keywords: evidence theory, information fusion, intelligent control, fault diagnosis
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