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A Comparison of Feature Extraction Techniques for Delamination of CFRP Using Eddy Current Pulse-Compression Thermography
被引:19
|作者:
Lu, X.
[1
]
Yi, Q.
[1
]
Tian, G. Y.
[1
,2
]
机构:
[1] Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 610054, Peoples R China
关键词:
Principal component analysis;
Feature extraction;
Heating systems;
Delamination;
Eddy currents;
Signal to noise ratio;
Kernel;
CFRP;
Eddy current pulse-compression thermography;
kernel-PCA;
ICA;
SNR;
FIBER-REINFORCED POLYMERS;
IMPACT DAMAGE DETECTION;
QUANTIFICATION;
IDENTIFICATION;
PCA;
D O I:
10.1109/JSEN.2020.2993154
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
CFRP (carbon fiber reinforced plastic) has replaced conventional metallic materials in many industrial applications because of its outstanding mechanical performance such as high strength to ratio and resistance of fatigue. During the service life of the aerospace composite component, delamination left without detection can cause a sudden breakdown of the structure. Eddy current pulse-compression thermography (ECPuCT) is an emerging technique that combines traditional ECPT and pulse compression techniques. In this work, feature extraction techniques of impulse response have been exploited in terms of principal component analysis (PCA), kernel principal component analysis (K-PCA) and independent component analysis (ICA). Each technique is evaluated using SNR as the index to compare their performance. The results indicate that Kernel-PCA performs better than PCA and ICA based features when dealing with delamination ranged from defect#1(0.46mm) to defect#9 (2.30mm).
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页码:12415 / 12422
页数:8
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