超声红外热像检测中疲劳裂纹的检出概率模型研究

超声红外热像检测技术的可靠性研究具有重要意义，特定检测条件下不同缺陷的检出概率是衡量检测可靠性的根本方法。文中制作了一系列含疲劳裂纹的45钢试件，实验结果表明：当检测条件确定时，裂纹区域响应热信号随着裂纹尺寸的增大而增强，响应热信号的对数与裂纹尺寸大体上呈线性关系。基于超声红外热像检测数据的统计特征，确定了回归分析模型中变量的形式，采用极大似然估计和Wald法分别给出了检出概率曲线的参数及其置信区间。研究成果能够为评价超声红外热像技术中检测可靠性提供量化依据。

Abstract

Research on the detection reliability of ultrasonic infrared imaging is of great importance. Probability of detection for different defects under given test conditions is workhorse statistical technique for the detection reliability assessment. In this paper, a series of 45 steel containing fatigue cracks were tested. Experimental results show that the increase of the crack size will enhance the crack heating response, and the relationship between the logarithmic form of measured response and the crack size appears to be linear. Based on the above statistic characteristics, the linear regression analysis and Delta method were adopted to estimate the probability of detection and its confidence interval. The research conclusion will provide a quantitative basis for detection reliability in ultrasonic infrared imaging.

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冯辅周, 张超省, 宋爱斌, 闵庆旭, 朱俊臻. 超声红外热像检测中疲劳裂纹的检出概率模型研究[J]. 红外与激光工程, 2016, 45(3): 0304005. Feng Fuzhou, Zhang Chaosheng, Song Aibin, Min Qingxu, Zhu Junzhen. Probability of detection model for fatigue crack in ultrasonic infrared imaging[J]. Infrared and Laser Engineering, 2016, 45(3): 0304005.

超声红外热像检测中疲劳裂纹的检出概率模型研究

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