机械制造与自动化2024，Vol.53Issue(4)：287-291,5.DOI:10.19344/j.cnki.issn1671-5276.2024.04.055
重载铁路货车机械零件与踏面损伤图像检测方法
Image Detection Method for Machine Element and Tread Damage of Heavy Duty Goods Wagon
李朋 1郭志远 2赵永钢2
作者信息
- 1. 国能铁路装备有限责任公司肃宁车辆维修分公司,河北 沧州 062350
- 2. 天津哈威克科技有限公司,天津 301799
- 折叠
摘要
Abstract
The present detection of machine element and tread damage of heavy haul goods wagon is mainly implemented manually,which is affected by the area and angle of the parts and the subjectivity of the manual,and whose detection accuracy needs to be improved.This paper presents an image detection method for damage of machine element and tread of heavy-duty goods wagon.The images of machine element and tread of heavy haul goods wagon are collected,and homomorphic filtering method is applied to eliminate noise in the image and enhance image contrast ratio.With Canny edge detection algorithm,the edge of the collected image is detected,and the damage area of Machine element and tread is segmented to obtain the target area.The VGG-19 network is established on the basis of transfer learning,and the above target areas are input into the VGG-19 network to gain the damage characteristics of machine element and tread,so as to realize the damage detection of machine element and tread.The experimental results show that the image processing effect of the proposed method is favourable,the detection accuracy of mechanical parts damage and tread damage is higher than 90%and the detection time is less than 10 s,which is practical.关键词
迁移学习/重载铁路货车/机械零件与踏面损伤检测/同态滤波/Canny边缘检测算法Key words
transfer learning/heavy haul railway freight cars/machine element and tread damage detection/homomorphic filtering/Canny edge detection algorithm分类
信息技术与安全科学引用本文复制引用
李朋,郭志远,赵永钢..重载铁路货车机械零件与踏面损伤图像检测方法[J].机械制造与自动化,2024,53(4):287-291,5.
