Interlaminar damage assessment method of CFRP laminate based on Synchrosqueezed Wavelet Transform and ensemble Principal Component Analysis
Interlaminar damage assessment method of CFRP laminate based on Synchrosqueezed Wavelet Transform and ensemble Principal Component Analysis
复制标题
基于同步压缩小波变换和系综主成分分析的CFRP层合板层间损伤评估方法
DOI:
10.1016/j.compstruct.2021.114581
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发表时间:
2021-08
影响因子:
6.3
通讯作者:
Yu Hongliang
中科院分区:
文献类型:
--
作者:
Lu Shizeng;Dong Huijun;Yu Hongliang
The damage assessment of Carbon Fiber Reinforced Plastics (CFRP) laminate structure is very important to ensure the safety of the structure in service. Machine learning is a research hotspot in damage assessment of CFRP structures. However, there are problems such as noise interference, small number of training samples, and few damage types of training samples. In order to solve the above problems, the damage assessment method of CFRP laminate based on Synchrosqueezed Wavelet Transform and ensemble Principal Component Analysis was proposed. First, the damage feature extraction method based on Synchrosqueezed Wavelet Transform (SWT) and Singular Spectrum Analysis (SSA) was proposed to reduce the feature dimension and achieve effective extraction of damage features. Then, the damage assessment method based on ensemble Principal Component Analysis (PCA) was proposed to realize the damage assessment of CFRP structure. Finally, the simulation experiment was designed to verify the damage assessment results in the case of noise interference, small number of training samples, and few damage types of training samples. The results showed that the damage assessment method of CFRP laminate structure based on SWT, SSA and ensemble PCA was feasible. This paper provided a feasible method for evaluating the damage degree of CFRP laminate structure.
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影响因子:
5.6
作者:
Yi, Cancan;Lv, Yong;Yu, Xun
通讯作者:
Yu, Xun
DOI:
10.1016/j.engappai.2020.104099
发表时间:
2021
期刊:
Eng. Appl. Artif. Intell.
影响因子:
--
作者:
A. Rahbari;M. Rébillat;N. Mechbal;S. Canu
通讯作者:
A. Rahbari;M. Rébillat;N. Mechbal;S. Canu
影响因子:
13.1
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Shirsendu Sikdar;W. Paepegem;W. Ostachowicz;M. Kersemans
通讯作者:
Shirsendu Sikdar;W. Paepegem;W. Ostachowicz;M. Kersemans
影响因子:
6.3
作者:
Wei, Qin;Zhu, Liyong;Xie, Weihua
通讯作者:
Xie, Weihua
影响因子:
6.3
作者:
Su, ZQ;Ye, L
通讯作者:
Ye, L