机载电路板故障与老化程度检测关键技术研究

项目名称： 机载电路板故障与老化程度检测关键技术研究

项目编号： No.U1333111

项目类型： 联合基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 王力

作者单位： 中国民航大学

项目金额： 37万元

中文摘要： 本项目研究基于红外热成像的机载电子系统电路板故障诊断与老化程度检测关键技术，主要研究红外图像温度校准模型的建立；基于SVM算法的电路板红外图像中元器件识别方法；基于像素点的图像配准算法；基于序列热图法的故障定位算法；待测故障电路板图像温度信息与故障数据库的对应分析；基于综合老化指数的电路板老化程度检测方法；待测老化程度电路板图像温度信息与老化程度等级对应分析，以及开发一套基于红外热成像的机载电路板故障诊断与老化程度检测实验系统进行现场实验。本项目的研究成果不仅能够填补国内机载电路板深度维修空白，显著提高我国民航机务维修能力，而且首创电路板老化程度检测，有效减少飞机飞行过程中的故障，确保航班正点、安全飞行，实现成本控制，具有重要的现实意义。

中文关键词： 红外热成像；图像处理；故障模型；老化程度；

英文摘要： This project is to study the key technology of airborne electronic board infrared thermal imaging deep repairing system. The main content of research as follows: Establishment of infrared image temperature calibration model; Identification algorithm for infrared image element circuit board base on SVM; Image registration algorithm based on pixels., Fault location algorithm based on the image sequence; The measured circuit board image temperature information corresponding with fault database; Aging degree detecting method based on the comprehensive index of circuit board; the aging status circuit board image temperature information corresponding with aging status grade; Development of a set of experimental system for airborne circuit board fault detection experiments based on infrared thermal imaging. The research results of this project will not only fill up the blank circuit board component level repairing, Significant increase in China's civil aviation deep repairing ability, but also Initially propose the conception of circuit board health detection, effectively reduce the fault rate during the flight. On one hand the aircraft safety is greatly enhanced, on the other hand, it can reduce the takeoff and landing fault rate, greatly improve the civil aviation operations, With a wide range of practical significan

英文关键词： Infrared Thermal Imaging；Image Processing；Fault Model；Aging Degree；