Fault diagnosis expert system for large-scale railway maintenance equipment based on BP neural network

Ming Pu, Hairui Wang

School of information engineering and automation Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming, China

According to the characteristics of the neural network and expert system, a fault diagnosis method for large-scale railway maintenance equipment based on Back Propagation (BP) neural network and expert system is proposed. Fault diagnosis for large-scale railway maintenance equipment on BP neural network and expert system model are constructed. A weak of collection and expression of knowledge on traditional expert system is overcome. Availability of the method based on BP neural network system and expert system is verified by experimental results of large-scale railway maintenance equipment fault.