| 基于人工噪声神经网络BP算法的火箭发动机故障仿真与检测 |
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| 引用本文： | 黄敏超,张育林,冯心.基于人工噪声神经网络BP算法的火箭发动机故障仿真与检测[J].推进技术,1994,15(2):1-6,33. |
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| 作者姓名： | 黄敏超 张育林 冯心 |
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| 作者单位： | 国防科技大学航天技术系 |
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| 摘 要： | 研究了用于液体火箭发动机故障仿真与故障检测的神经网络ＢＰ算法。在ＢＰ算法中采用了加噪声等技术来避免系统误差陷入局部极小，训练出精度高（误差小于０．０２）的神经网络，试验表明：神经网络ＢＰ算法成功地用于故障仿真与故障检测。
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| 关 键 词： | 液体推进剂 火箭发动机 故障诊断 |
FAILURE SIMULATION AND DETECTION OF A LIQUID ROCKET ENGINE BASED ON ARTIFICIAL NOISE BP NEURAL NETWORK |
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| Huang Minchao,Zhang Yulin and Feng Xin.FAILURE SIMULATION AND DETECTION OF A LIQUID ROCKET ENGINE BASED ON ARTIFICIAL NOISE BP NEURAL NETWORK[J].Journal of Propulsion Technology,1994,15(2):1-6,33. |
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| Authors: | Huang Minchao Zhang Yulin and Feng Xin |
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| Institution: | Department of Aerospace Technology, NationalUniversity of Defense Technology, Changsha, 410073;Department of Aerospace Technology, NationalUniversity of Defense Technology, Changsha, 410073;Department of Aerospace Technology, NationalUniversity of Defense Technology, Changsha, 410073 |
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| Abstract: | BP (Back Propagation) neural network used in liquid rocket engine(LRE)failure simulation and detection was described. In order that the system errordid not fall into partial minimum, additional noise was recommended in BP algorithm, and an accurate neural network was trained (with error below 0. 02). It wasshown that the BP neural network could be successfully employed in simulation anddetection of LRE failures. |
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| Keywords: | Liquid propellant rocket engine Fault diagnosis expert system Fault simulation Fault detection Noise jamming |
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