高铁接触网U型抱箍螺母故障检测算法  

High-speed rail contact network U-holding nut fault detection algorithm

作　　者：牛英杰 苏燕辰[1] 程敦诚 廖家 赵海波 高永强 NIU Ying-jie;SU Yan-chen;CHENG Dun-cheng;LIAO Jia;ZHAO Hai-bo;GAO Yong-qiang(School of Mechanical Engineering,Southwest Jiaotong University,Chengdu 610031,China;CRRC Changchun Rail Bus Limited Company,Changchun 130000,China;Shenshuo Railway Branch,China Shenhua Energy Limited Company,Yulin 719000,China)

机构地区：[1]西南交通大学机械工程学院,四川成都610031 [2]中车长春轨道客车股份有限公司,吉林长春130000 [3]中国神华能源股份有限公司神朔铁路分公司,陕西榆林719000

出　　处：《浙江大学学报（工学版）》2021年第10期1912-1921,共10页Journal of Zhejiang University：Engineering Science

基　　金：国家重点研发计划资助项目(2018YFB1201600);神华科技创新资助项目(SHGF-18-57).

摘　　要：针对高速铁路接触网平腕臂结构中U型抱箍螺母故障的问题,提出结合抱箍螺母检测算法(HND-Net)与Mask_RCNN实例分割的故障检测方法.提出HND-Net目标检测算法,实现对平腕臂U型抱箍所在区域的初定位,对于定位得到的U型抱箍区域图像进行像素级别的Mask_RCNN实例分割,快速得到平腕臂U型抱箍4颗螺母的精确定位及分类信息.利用得到的定位信息,提出分割算法实现对U型抱箍螺母的可靠故障诊断.经实验验证可知,利用该方法能够在复杂的悬挂图像中准确地定位检测U型抱箍的螺母故障,对于拍摄角度、拍摄距离有良好的适应性和较高的检测效率.The fault detection method combining the hoop nuts detector-net(HND-Net)and Mask_RCNN instance segmentation was proposed aiming at the problem of U-shaped hoop nut fault in the flat arm structure of high-speed railroad contact network.The proposed HND-Net target detection algorithm achieved the initial localization of the area where the U-shaped hoop of the flat wrist arm was located,and performed the pixel-level Mask_RCNN instance segmentation of the localized U-shaped hoop area in order to quickly obtain the precise localization and classification information of the four nuts of the U-shaped hoop of the flat wrist arm.The proposed segmentation algorithm achieved reliable fault diagnosis of U-shaped hoop nuts by using the obtained localization information.The experimental verification shows that the nut fault of U-type clamping hoop can be accurately located and detected in complex suspension images with good adaptability and high detection efficiency for shooting angle and shooting distance.

关 键 词：高铁接触网 U型抱箍 HND-Net目标检测 实例分割 故障诊断 

分 类 号：U225[交通运输工程—道路与铁道工程]