| 某型火箭发动机起动过程实时故障检测算法研究 |
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| 引用本文： | 黄强,刘洪刚,谢廷峰,吴建军.某型火箭发动机起动过程实时故障检测算法研究[J].火箭推进,2006,32(6):52-55. |
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| 作者姓名： | 黄强 刘洪刚 谢廷峰 吴建军 |
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| 作者单位： | 国防科技大学,航天与材料工程学院,湖南,长沙,410073 |
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| 摘 要： | 以某型火箭发动机为研究对象,针对其起动工作过程,利用Matlab和LabWin-dows/CVI等编程语言,结合神经网络理论,开发了其起动工作过程的实时故障检测算法。使用了多次试车数据进行离线检验,结果证明该算法能够及时、有效地检测出该型火箭发动机起动过程的已有故障,并能够满足实时性的要求,没有出现误报警和漏报警。
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| 关 键 词： | 火箭发动机 实时性 神经网络 BP网络 |
| 文章编号： | (2006)06-0052-04 |
| 收稿时间： | 2006-05-15 |
| 修稿时间： | 2006-08-29 |
Research of real-time fault detection algorithms at start-stage of rocket engines |
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| Huang Qiang,Liu Honggang,Xie Tingfeng,Wu Jianjun.Research of real-time fault detection algorithms at start-stage of rocket engines[J].Journal of Rocket Propulsion,2006,32(6):52-55. |
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| Authors: | Huang Qiang Liu Honggang Xie Tingfeng Wu Jianjun |
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| Abstract: | The real-time fault detection algorithm at start stage of a rocket engine is developed based on Back Propagation Neural Network (BPNN) using Matlab and Lab Windows/CVI. A great deal of historical test data are used to verify and validate it. The results indicate that this algorithm can detect the fault at start stage of LRE in time efficiently, and no false alarm for normal data. |
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| Keywords: | rocket engines real-time neural network back propagation network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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