| Experimental study of structural damage identification based on WPT and coupling NN |
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| 作者姓名： | 郭健 陈勇 孙炳楠 |
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| 作者单位： | Department of Civil Engineering Zhejiang University，Department of Civil Engineering Zhejiang University，Department of Civil Engineering Zhejiang University Hangzhou 310027，China，Hangzhou 310027，China，Hangzhou 310027，China Department of Civil and Architecture，Ningbo Institute of Technology，Zhejiang UniversityNingbo 315100，China |
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| 摘 要： | Too many sensors and data information in structural health monitoring system raise the problem of how to realize multi-sensor information fusion. An experiment on a three-story frame structure was conducted to obtain vibration test data in 36 damage cases. A coupling neural network (NN) based on multi-sensor information fusion is proposed to achieve identification of damage occurrence, damage localization and damage quantification, respectively. First, wavelet packet transform (WPT) is used to extract features of vibration test data from structure with different damage extent. Then, data fusion is conducted by assembling feature vectors of different type sensors. Finally, three sets of coupling NN are constructed to implement decision fusion and damage identification. The results of experimental study proved the validity and feasibility of the proposed methodology.
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| 关 键 词： | 损伤鉴定 小波传输 无损检测 耦合神经网络 |
| 收稿时间： | 2005-02-20 |
| 修稿时间： | 2005-03-31 |
Experimental study of structural damage identification based on WPT and coupling NN |
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| Guo Jian,Chen Yong,Sun Bing-nan.Experimental study of structural damage identification based on WPT and coupling NN[J].Journal of Zhejiang University Science,2005,6(7):663-669. |
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| Authors: | Guo Jian Chen Yong Sun Bing-nan |
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| Institution: | (1) Department of Civil Engineering, Zhejiang University, 310027 Hangzhou, China;(2) Department of Civil and Architecture, Ningbo Institute of Technology, Zhejiang University, 315100 Ningbo, China |
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| Abstract: | Too many sensors and data information in structural health monitoring system raise the problem of how to realize multi-sensor information fusion. An experiment on a three-story frame structure was conducted to obtain vibration test data in 36damage cases. A coupling neural network (NN) based on multi-sensor information fusion is proposed to achieve identification of damage occurrence, damage localization and damage quantification, respectively. First, wavelet packet transform (WPT) is used to extract features of vibration test data from structure with different damage extent. Then, data fusion is conducted by assembling feature vectors of different type sensors. Finally, three sets of coupling NN are constructed to implement decision fusion and damage identification. The results of experimental study proved the validity and feasibility of the proposed methodology. |
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| Keywords: | Damage identification Experimental study Wavelet packet transform (WPT) Coupling neural network (NN) |
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