摘要
简要介绍了神经网络（ＮＮ）的基本理论和误差后向传播算法（ＢＰ算法），给出了应用神经网络的液体火箭发动机（ＬＲＥ）故障诊断系统框图，分析了液体火箭发动机的故障模型，提出用模型数据训练神经网络，为网络训练提供了新的途径。最后，基于模型数据，应用神经网络识别了液体火箭发动机的几种故障模式。
The basic theory of neural networks (NN) and BP algorithm are briefly described. A system block diagram of liquid rocket engine fault diagnosis by using the neural networks is given. By analysing the fault model of the liquid rocket engine, the method of using data from the fault model to train the neural networks is put forword, which provides a new path for training the neural networks. Finally, based on the model data,the neural networks are applied to recognize several fault patterns of the liquid rocket engine.
出处
《导弹与航天运载技术》
1995年第1期19-28,共10页
Missiles and Space Vehicles
关键词
液体推进剂
火箭发动机
神经网络
故障诊断
Liquid propellant rocket engine,￣+ Neural networks,￣+ BP algorithm, Fault diagnosis, Pattern recognition.
