| GA-BP神经网络在航空发动机状态监测中的应用研究 |
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| 引用本文： | 李训亮,门路,周山.GA-BP神经网络在航空发动机状态监测中的应用研究[J].航空计测技术,2011(4):5-6,38. |
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| 作者姓名： | 李训亮 门路 周山 |
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| 作者单位： | 江苏自动化研究所;中国人民解放军91467部队; |
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| 摘 要： | 针对航空发动机状态监测问题,引入人工神经网络为发动机复杂非线性系统建立精确模型;选择以GA-BP贝叶斯算法作为神经网络训练算法,建立优化设计近似模型;以发动机排气温度的预测为例,构建了一个GA-BP神经网络对航空发动机状态进行预测。结果表明,GA-BP神经网络收敛速度快,泛化能力强,优于标准BP神经网络,因而为航空发动机状态监测提供了一种有效的方法。
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| 关 键 词： | 航空发动机状态监测 系统辨识 人工神经网络 学习算法 |
Application Research of GA-BP Neural Network in Condition Monitoring of Aero-engine |
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| LI Xunliang,MEN Lu,ZHOU Shan.Application Research of GA-BP Neural Network in Condition Monitoring of Aero-engine[J].Aviation Metrology & Measurement Technology,2011(4):5-6,38. |
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| Authors: | LI Xunliang MEN Lu ZHOU Shan |
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| Institution: | LI Xunliang1,MEN Lu2,ZHOU Shan2(1.Jiangsu Automation Research Institute,Lianyungang 222006,China,2.The No.91467 of PLA,Qingdao 266311,China) |
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| Abstract: | Aiming at the problem of aero-engine condition monitoring,the aero-engine is considered as a complex non-linear system,and the neural network for the satisfactory model of aero-engine performance is proposed.The GA-BP Bayesian algorithm is used as a neural network training algorithm to establish the approximation model for optimization design.A GA-BP network is designed for predicting the exhaust gas temperature(EGT).The result exhibits good convergence and simple architecture of the network.The prediction ... |
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| Keywords: | aero-engine condition monitoring system identification artificial neural network learning algorithm |
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