| 基于神经网络的轴类损伤检测研究 |
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| 引用本文： | 蔡佳,佟刚.基于神经网络的轴类损伤检测研究[J].沈阳航空工业学院学报,2009,26(1). |
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| 作者姓名： | 蔡佳 佟刚 |
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| 作者单位： | 沈阳航空工业学院机电工程学院,辽宁,沈阳,110136 |
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| 摘 要： | 理论分析表明,结构损伤前后固有频率的变化包含了结构损伤位置和程度的信息.在此理论基础上,对一个一端固定轴模型进行了损伤数值模拟,提取同有频率的变化信息并采取合适的方法构造改进型BP神经网络来判断结构损伤.检测表明,该方法在结构损伤检测中具有较好的应用前景.
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| 关 键 词： | 损伤识别 固有频率 改进型BP神经网络 一端固定轴 |
A experiment of a shaft damage detection based on artif icial network |
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| CAI Jia,TONG Gang.A experiment of a shaft damage detection based on artif icial network[J].Journal of Shenyang Institute of Aeronautical Engineering,2009,26(1). |
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| Authors: | CAI Jia TONG Gang |
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| Institution: | Department of Electromechanical Engineering;Shenyang Institute of Aeronautical Engineering;Liaoning Shenyang 110136 |
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| Abstract: | It has been proved that the natural frequency changes of structures contain the information such as location and degree of structural damage.Based on this theory,a experiment to simulate the damage of a shaft with one end fixed is used,extracting the natural frequency changes and forming the input vectors of the BP algorithm network,detecting the structural damage by the t rained networks,the result s show the effectiveness of this method. |
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| Keywords: | damage identification natural frequency BP artificial network shaft with one end fixed |
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