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�������պ����ѧѧ�� 2009, Vol. 35 Issue (11) :1393-1397    DOI:
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Principal component analysis used in pulsed thermographic NDT of aluminum specimens
Guo Xingwang, Qidalatu*
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� To improve the defect detecting ability of pulsed infrared thermographic nondestructive testing (NDT) of aluminum specimens, the principal component analysis (PCA) method and its application in thermographic signal processing were studied. Some aspects of PCA, such as data preparation, algorithm and processing effects were discussed, based on the pulsed thermographic sequence processing. Experimental studies were carried out to evaluate the validity of the algorithm and detect the defects in an aluminum alloy plate. The results show that the second and third PCA images and a reconstructed image from the first few principal components have the ability to increase the defect contrast and reduce the effects of non-uniform heating, and the detection capability of pulsed thermographic NDT is enhanced. Besides, the minimum detectable corrosion rate decreases by approximately 10 percent by using PCA in detecting the imitative corrosion in the aluminum alloy plate.
Keywords�� principal component analysis   thermography   nondestructive examination   aluminum     
Received 2008-11-06;
Fund:

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About author: ������(1964-),��,���ɹź��ͺ�����,������,xingwangguo@buaa.edu.cn.
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Guo Xingwang, Qidalatu.Principal component analysis used in pulsed thermographic NDT of aluminum specimens[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(11): 1393-1397
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