关键词: 液体推进剂火箭发动机;人工神经元网络;故障检测

Abstract: A fault detection system for a liquid propellant rocket engine was proposed in the realtime conditions using the back propagation(BP)neural network.The engine mathematical model with the nonlinear identification technology was established,and the watching index signal that contains the engine fault message was output at the same time.If the watching index signal became bigger than a given threshold,then there existed a fault during the engine running.While the engine operation was divided into the start and steady state processes,the test data were validated the advanced performances of the fault detection system based on the nonlinear identification technology.Comparatively,the pattern recognition technology will be described in part Ⅱ

Key words: Liquid propellant rocket engine;Artificial neural network;Fault detection