Experimental investigation of frequency-based multi-damage detection for beams using support vector regression

Experimental investigation of frequency-based multi-damage detection for beams using support vector regression
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使用支持向量回归进行基于频率的梁多重损伤检测的实验研究

DOI:
10.1016/j.engfracmech.2014.08.001
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发表时间:
2014-11
影响因子:
5.4
通讯作者:
Yumin He
Yumin He
中科院分区:
工程技术2区
文献类型:
--
作者:
Jiawei Xiang;Ming Liang;Yumin He

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提出了一种结合支持向量回归的基于频率的损伤检测方法。采用小波有限元方法进行数值模拟,确定了多损伤位置/深度与梁固有频率之间的关系数据库。然后,利用支持向量回归处理非线性、寻找全局解和处理高维输入向量的能力,从数据库中提取损伤位置和深度。最后,进行了大量的实验来进一步检验所提出方法的性能。
A frequency-based damage detection method in conjunction with the support vector regression is presented. The wavelet finite element method is used for numerical simulation to determinate the relationship database between multi-damage locations/depths and natural frequencies of a beam. Then, support vector regression is applied to extract the damage locations and depths from the database due to its ability in handling nonlinearity, finding global solutions, and processing high dimensional input vector. Finally, a large number of experiments have been carried out to further examine the performance of the proposed method.
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