关键词: 火炮装填系统, 人工智能, 动态故障诊断, 新型模糊推理, 改进证据更新规则

Abstract: The cause of the failure of the artillery filling system is complicated, and the single-factor and single-model fault diagnosis methods have been insufficient. This paper proposes a dynamic fault diagnosis method of improved evidence update rules, and applies the artificial intelligence method to the artillery automatic filling fault diagnosis system. The method determines the identification framework of fault diagnosis by describing the fuzzy rule base, applies the new fuzzy reasoning method to generate diagnostic evidence, and dynamically updates the diagnostic evidence at the time before and after the acquisition through the evidence update rule, and updates the merged evidence. Fault decision is made to solve the uncertainty of fault characteristics, fault pattern diversity and dynamic fault diagnosis. The case study proves that the method achieves the purpose of effectively improving the diagnosis rate of fault diagnosis.

Key words: artillery filling system, artificial intelligence, dynamic fault diagnosis, new fuzzy reasoning, improved evidence update