基于红外热成像技术的动车组关键部位表面伤痕检测方法
Surface Scar Detection Method for Key Parts of High-Speed Trains Based on Infrared Thermal Imaging Technology
胡光锋1
作者信息
摘要
常规的动车组关键部位表面伤痕检测方法以伤痕样本聚类为主,无法有效检测到微小伤痕,影响动车组的稳定运行.基于此,设计一种基于红外热成像技术的动车组关键部位表面伤痕检测方法.提取动车组关键部位表面的伤痕特征,包括动车组关键部位表面伤痕的形状、温度分布、纹理、区域等特征,并根据实际红外成像数据确定伤痕类型.基于红外热成像技术检测动车组部件表面的伤痕边界,使用红外热像仪扫描动车组部件,获取表面伤痕温度分布图像,从而确定边界范围,避免出现伤痕检测失误的问题.采用对比实验,验证了该方法的伤痕检测准确性更高,能够应用于实际检测.
Abstract
The conventional detection method of surface scars of key parts of Electric Multiple Units(EMU)is mainly based on scar sample clustering,which can not effectively detect small scars and affect the stable operation of EMU.Based on this,a method of surface scar detection of key parts of EMU based on infrared thermal imaging technology is designed.The scar features on the surface of key parts of EMU were extracted,and the shape,temperature distribution,texture,region and other features of the scars on the surface of key parts of EMU were extracted,and the scar types were determined according to the actual infrared imaging data.Based on infrared thermal imaging technology to detect the scar boundary on the surface of EMU components,the infrared thermal imager is used to scan the EMU components to obtain the temperature distribution image of the surface scar,so as to determine the boundary range and avoid the problem of scar detection errors.Comparative experiments show that this method is more accurate and can be used in real testing.
关键词
红外热成像技术/动车组/关键部位/表面伤痕/检测方法Key words
infrared thermal imaging technology/multiple unit trains/key parts/surface scars/test method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据