基于神经网络的液体火箭发动机故障检测系统

The Failure Detection System of Liquid Rocket Engine Based on Neural Network

提出和建立了一种用于液体火箭发动机（ＬＲＥ）故障检测的神经网络系统，这种系统包括两层：第一层由ＷＴＡ（Ｗｉｎｎｅｒ－Ｔａｋｅ－Ａｌｌ）神经网络组成，ＷＴＡ网络用于检测发动机故障输出模式；第二层由ＢＰ（Ｂａｃｋ－ｐｒｏｐａｇａｔｉｏｎ）神经网络组成，ＢＰ网络利用第一层次的输出结果作为输入显示故障大小。文中对ＬＲＥ故障检测进行了数值仿真，仿真结果验证了神经网络故障检测系统的优越性能。

A neural network system used for failure detection of a liquid rocket engine (LRE) is described and presented in this paper.The system includes two layers: the first processing layer consists of the winner-take-all (WTA) neural network used for LRE fault diagnosis;the second layer consists of the back-propagation (BP) neural network used for displaying the failure value with the output result of the first layer.In the paper,the failure detection simulation of a liquid rocket engine is given to show great advantages for the failure detection system of the neural network.