Research on the fault diagnosis of an automatic magazine transport control system of a naval gun

Abstract

According to the problems of low maintenance efficiency and high cost for regular maintenance and after-the-fact maintenance methods of the automatic magazine transport system of a naval gun, an expert system for fault diagnosis based on fault tree is proposed to improve the success rate of the system operation, extend the service life, and reduce maintenance difficulty and cost. According to the characteristics of the magazine system to build the fault tree model, combined with rules to build the diagnostic rule base of expert system, using mixed reasoning strategy to build the inference engine, and the human-machine interface for fault diagnosis is designed and built. Finally, the diagnosis effects are analyzed by examples. The results show that this fault diagnosis expert system has a good diagnostic effect and applicability. This kind of method has a certain versatility and provides reference for fault diagnosis of other systems