| 基于BP神经网络诊断桥梁结构故障 |
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| 引用本文： | 李丽,刘明军.基于BP神经网络诊断桥梁结构故障[J].济南大学学报(自然科学版),2009,23(4):334-337. |
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| 作者姓名： | 李丽 刘明军 |
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| 作者单位： | 济南大学,信息科学与工程学院,山东,济南,250022 |
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| 基金项目： | 山东省优秀中青年科学家科研奖励基金，山东省高等学校科技计划，山东省博士后科学基金 |
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| 摘 要： | 改进BP算法加快其收敛速度,将其应用于诊断悬梁板的故障.通过仿真实验验证该算法可行有效,可实现故障裂纹位置的预测,提高故障识别率28.01%.
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| 关 键 词： | 神经网络 BP算法 故障诊断 |
Fault Diagnosis Study of Bridge Based on BP Neural Network |
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| LI Li,LIU Ming-jun.Fault Diagnosis Study of Bridge Based on BP Neural Network[J].Journal of Jinan University(Science & Technology),2009,23(4):334-337. |
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| Authors: | LI Li LIU Ming-jun |
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| Institution: | School of Information Science and Engineering;University of Jinan;Jinan 250022;China |
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| Abstract: | The BP algorithm is improved to quicken the speed of convergence,and is applied to the fault diagnosis study of bridge.The simulated experimental results indicate that this method is feasibie and can predict the fault position and enhance the fault recognition rate by 28.01%. |
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| Keywords: | neural network BP algorithm fault diagnosis |
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