光学学报, 2020, 40 (14): 1412002, 网络出版: 2020-07-23
一种基于偏振热像的金属疲劳损伤评估方法 下载: 1122次
Metal Fatigue Damage Assessment Based on Polarized Thermography
测量 自发辐射 偏振成像 红外热像法 金属疲劳损伤 损伤评估 measurement spontaneous emission polarization imaging infrared thermography metal fatigue damage damage assessment
摘要
为克服红外热像法的不足,提出一种基于表面红外偏振热像特征的金属疲劳损伤评估方法。首先给出金属疲劳损伤评估偏振热成像的理论基础,然后通过实验说明疲劳损伤过程表面微观形貌的变化规律,再基于Tsalis熵进行目标图像分割并分析其特征,最后通过主成分分析进行特征选择并构建基于BP(back propagation)神经网络的非线性预测模型。结果表明,模型训练、验证、测试结果与实际实验测量值具有较好的相关性,Q235平板试件的拉-拉疲劳损伤预测平均误差小于20%。
Abstract
To overcome the shortcomings of infrared thermography, a novel method of metal fatigue damage assessment based on the characteristics of surface infrared polarized thermal imaging is proposed in this paper. First, the theoretical basis of polarized thermal imaging for metal fatigue damage assessment is provided. Then, the change rule of surface micromorphology in the process of fatigue damage is experimentally explained. Next, the target image is segmented and analyzed using the Tsalis entropy algorithm. Finally, the feature selection is performed using principal component analysis and a nonlinear prediction model based on back propagation (BP) neural network is constructed. Experimental results show that during the process of metal fatigue damage, the results of model training, verification, and test have a good correlation with the actual experimental data, and the average prediction error of tension and tension fatigue damage for the specific test target Q235 plate is less than 20%.
汪方斌, 孙凡, 朱达荣, 刘涛, 王雪, 王峰. 一种基于偏振热像的金属疲劳损伤评估方法[J]. 光学学报, 2020, 40(14): 1412002. Fangbin Wang, Fan Sun, Darong Zhu, Tao Liu, Xue Wang, Feng Wang. Metal Fatigue Damage Assessment Based on Polarized Thermography[J]. Acta Optica Sinica, 2020, 40(14): 1412002.