| 基于BP神经网络的叶片损伤度评估方法 |
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| 引用本文： | 钱征文,程礼,赵兵兵,李应红.基于BP神经网络的叶片损伤度评估方法[J].航空动力学报,2011,26(4):794-800. |
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| 作者姓名： | 钱征文 程礼 赵兵兵 李应红 |
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| 作者单位： | 1. 空军工程大学工程学院,西安,710038
2. 空军工程大学工程学院,西安,710038;西安交通大学机械工程学院机械制造系统工程国家重点实验室,西安,710049 |
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| 摘 要： | 将叶片简化为悬臂梁模型,根据振动力学理论推导出了叶片损伤度与固有频率变化量以及损伤位置两个参数的内在关系,将其抽象为一种从损伤的位置及固有频率的变化量到损伤度的映射.在此基础上,将具有自学习能力和逼近非线性映射能力的人工神经网络引入到损伤度的预测中,构建了一种基于BP(back-propagation)神经网络的叶片损...
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| 关 键 词： | 航空发动机 叶片 损伤 固有频率 BP(back-propagation)神经网络 评估 |
| 收稿时间： | 2010/3/27 0:00:00 |
| 修稿时间： | 2010/11/17 0:00:00 |
Assessment research on damage degree of blade in aero-engine based on back-propagation artificial neural networks |
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| QIAN Zheng-wen,CHENG Li,ZHAO Bing-bing and LI Ying-hong.Assessment research on damage degree of blade in aero-engine based on back-propagation artificial neural networks[J].Journal of Aerospace Power,2011,26(4):794-800. |
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| Authors: | QIAN Zheng-wen CHENG Li ZHAO Bing-bing and LI Ying-hong |
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| Institution: | The Engineering Institute, Air Force Engineering University,Xi'an 710038,China;The Engineering Institute, Air Force Engineering University,Xi'an 710038,China;State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049,China;The Engineering Institute, Air Force Engineering University,Xi'an 710038,China;The Engineering Institute, Air Force Engineering University,Xi'an 710038,China |
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| Abstract: | The internal relationship among damage degree,natural frequency and the location of damage was deduced by simplifying the blade as a cantilever.In view of the problem in the maintenance of damaged blade,the relationship was abstracted into a mapping about damage degree,natural frequency and the location of damage.Then the neural network,which has the ability of self-study and can approach the nonlinear mapping,was used in the prediction of the damage.The damage degree assessment method of blade was built up based on the back-propagation(BP)neural network.Furthermore,this method was validated by using the experimental data of a certain aero-engine blade as the sample and test data.The results indicate that this method is useful to disposal of damaged blade in the project applications and can be applied in the maintenance criterion of blade. |
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| Keywords: | aero-engine blade damage natural frequency |
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