Study on the fault diagnosis of multi-information fusion in train intelligent control system based On fuzzy neural network and evidential theory
Zhang You-pen · Automation and Instrumentation · 2008
Aiming at the becoming,uncertainty and space distributing of input multi-fault characteristic information in train intelligent control system fault diagnosis,a system structure for fault diagnosis of multi-information fusion in train intelli-gent control system is presented.The method of fault diagnosis of multi-information fusion in train intelligent control system based on fuzzy neural network and D-S evidential theory is discussed.Result of example indicates that this method can effec-tively improved the credibility and reduced the uncertainty of diagnosis.