Aiming at the defect of the lack of quantitative detection probability evaluation method, we design two models which affect the detection probability of image fusion system. They are spectral contrast modeling of target and background and probability model of transformer fault detection and recognition under the influence of multiple factors. Based on the infrared optical imaging method, we established the fault identification model of multi-mode transformer or its connected parts; Studied several infrared optical imaging fusion test systems, and deduced the calculation method of transformer fault detection based on false alarm probability; Analyzed the correlation between the detection ability of the detection system and the characteristics of the target itself, environmental illumination, detection distance and so on. According to the relationship among SNR, detection range and detection probability, we derived the calculation model of target detection probability of optical imaging system under complex background. Through calculation and experimental analysis, the results show that the proposed method can effectively evaluate the detection probability of photoelectric detection imaging system under different background in practical application.

中文翻译：

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一种基于光电红外传感器的变压器温度故障概率计算方法

针对目前缺乏定量检测概率评价方法的缺陷，设计了两种影响图像融合系统检测概率的模型。它们是目标与背景的光谱对比建模和多因素影响下变压器故障检测与识别的概率模型。基于红外光学成像方法，建立了多模变压器或其连接部件的故障识别模型；研究了几种红外光学成像融合测试系统，推导出了基于虚警概率的变压器故障检测计算方法；分析了检测系统的检测能力与目标本身的特性、环境光照、检测距离等之间的相关性。根据信噪比、探测距离和探测概率之间的关系，推导出复杂背景下光学成像系统目标探测概率的计算模型。通过计算和实验分析，结果表明，该方法在实际应用中能够有效评估光电探测成像系统在不同背景下的探测概率。