在超声红外热像检测中，激励强度、激励时间和工具杆与被测对象之间的预紧力等检测条件是影响缺陷热信号的重要因素。实验和仿真分析表明：激励时间和激励强度的增加将使裂纹生热增强，而预紧力的增加却使得裂纹生热呈现先增强后减弱的趋势，且检测条件对裂纹生热存在交互影响；另外，不恰当的检测条件将导致超声激励系统报警。基于检测条件对裂纹热信号和报警数据的影响分析，文中提出了采用多元非线性回归模型和Logistic回归模型以估算特定检测条件下裂纹检出概率和检测报警概率，最终确定了检测条件的选择范围。上述检测条件的优化方法能够为超声红外热像检测技术中检测方案的制定提供理论指导。

Test conditions as excitation intensity, excitation duration and engagement force between horn and test object are important factors affecting defect thermal signal in sonic infrared imaging. Experimental statistics and simulated results show that the increase of the excitation intensity and the excitation duration will enhance crack heating. However, the increase of the engagement force will enhance firstly and then weaken crack heating. Moreover, the effects of the test conditions on crack heating are interactive, and inappropriate test conditions will induce a test-stopping alarm. Based on the effect analysis of testing conditions on crack thermal signals and alarm incidents, a multivariate nonlinear regression model and a logistics regression model were adopted to estimate probability of detection and alarm during test, which will finally determine the value range of test conditions. The optimization methods proposed in this paper will provide theoretical direction for test scheme in sonic infrared imaging technology.