| 液体火箭发动机启动过程检测研究 |
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| 引用本文： | 李大鹏,王小军. 液体火箭发动机启动过程检测研究[J]. 导弹与航天运载技术, 2005, 0(1): 1-5 |
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| 作者姓名： | 李大鹏 王小军 |
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| 作者单位： | 北京宇航系统工程设计部,北京,100076;北京宇航系统工程设计部,北京,100076 |
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| 摘 要： | 建立了火箭发动机启动过程的RBF神经网络模型,将神经网络辨识方法与包络线方法结合,提出分层次检测方案,并根据大型液体火箭的故障仿真结果进行了仿真实例验证,较好地验证了检测方案及模型的有效性和实用性.
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| 关 键 词： | 液体火箭发动机 RBF神经网络 包络线 故障检测 |
| 文章编号： | 1004-7182(2005)01-0001-05 |
| 修稿时间： | 2003-12-29 |
Detection Study on the Start Process for Liquid Propellant Rocket Engine with Staged Combustion Cycle |
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| Li Dapeng,Wang Xiaojun. Detection Study on the Start Process for Liquid Propellant Rocket Engine with Staged Combustion Cycle[J]. Missiles and Space Vehicles, 2005, 0(1): 1-5 |
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| Authors: | Li Dapeng Wang Xiaojun |
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| Abstract: | RBF neural network models on the start process of liquid propellant rocket engine are built. Thresholds are established with envelope method and a detection scheme is put forward. Real examples are verified based on test data and fault simulation result of the liquid rocket engine, and the correctness of the detection scheme and models is also verified accurately. |
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| Keywords: | Liquid propellant rocket engine RBF neural network Envelope Fault detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
