中文摘要：

为了提高脉冲热像法PT（Pulsed Thermography）的缺陷检测能力,将因子分析法应用于脉冲红外热无损检测的热像序列处理中.介绍了因子分析法的原理,描述了因子分析法处理并重建红外热像序列的步骤.为了考查算法的有效性,对人工内置缺陷的玻璃纤维增强塑料板试件进行了脉冲红外热像检测试验.结果表明：通过因子分析得到的公因子图像可以进行缺陷识别,因子分析法较主分量法处理数据更加灵活;通过公因子重建图像序列后,可增强缺陷信噪比和抑制加热不均效应,从而提高了脉冲热像法的缺陷检测能力.

英文摘要：

To improve the detection capability of pulsed thermography（PT）,factor analysis algorithm was applied to image sequence processing in pulsed infrared thermographic nondestructive examination（NDT）.The principle of factor analysis was introduced and the procedure of image sequence processing and reconstruction was described.In order to illustrate the validity of this method,a glass fiber reinforced plastic sample with artificial internal defects was tested by PT.It is shown that the common factor images can be used to improve the recognition of flaws;factor analysis is more flexible than principal component analysis（PCA）;the reconstructed image sequence can improve the defect＇s signal to noise ratio（SNR） and decrease the non-uniform heating effect,thus the detection capability of PT is enhanced.