Abstract: To effectively monitor the running and operating state of missile propellant filling equipment, according to the structure and the feature of missile propellant filling equipment, studies feature and the structure of the expert system which based on knowledge and neural network and the real-time expert system. Based on the presented model of real-time intelligent diagnosis system, builds the real-time intelligent diagnosis system for a missile propellant filling equipment, and applies the system to the "XXX project filling operation auto-monitoring system". The real-time intelligent diagnosis for missile propellant filling equipment is realized by this work.

Key words: Liquid propellant rocket engine;Propellent filling equipment;Fault diagnosis expert system;Artificial neural network

摘要： 为了对导弹推进剂加注设备及其操作进行有效地监控,从导弹推进剂加注设备结构和特点出发,基于知识的专家系统、神经网络的专家系统和实时专家系统的特点和结构组成,提出了实时智能诊断系统模型,建立了某型号导弹推进剂加注设备实时智能诊断系统,并将其应用于“XXX工程加注操作自动化监控系统”,实现了导弹推进剂加注设备的实时智能诊断。

关键词: 液体推进剂火箭发动机;推进剂加注设备;故障诊断专家系统;人工神经元网络