引用本文: | 黄敏超,张育林,冯心.基于神经网络的液体火箭发动机故障检测系统.[J].国防科技大学学报,1994,16(2):55-60 ,88.[点击复制] |
Huang Minchao,Zhang Yulin,Feng Xin.The Failure Detection System of Liquid Rocket Engine Based on Neural Network[J].Journal of National University of Defense Technology,1994,16(2):55-60 ,88[点击复制] |
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基于神经网络的液体火箭发动机故障检测系统 |
黄敏超, 张育林, 冯心 |
(国防科技大学 航天技术系 湖南 长沙 410073)
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摘要: |
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。 |
关键词: 液体火箭发动机 WTA神经网络 BP神经网络 故障检测 |
DOI: |
投稿日期:1993-10-05 |
基金项目:国家自然科学基金资助 |
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The Failure Detection System of Liquid Rocket Engine Based on Neural Network |
Huang Minchao, Zhang Yulin, Feng Xin |
(The Department of Aerospace Technology, NUDT,Changsha,410073)
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Abstract: |
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. |
Keywords: liquid rocket engine WTA neural network BP neural network failure detection |
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