计算机与数字工程2023，Vol.51Issue(11)：2682-2688,7.DOI:10.3969/j.issn.1672-9722.2023.11.038
基于深度学习的螺栓松动图像检测方法研究
Research on Image Detection Method of Bolt Looseness Based on Deep Learning
贺小琼 1肖世德 1赵斌 1江海锋 1陈德君2
作者信息
- 1. 西南交通大学机械工程学院 成都 610031
- 2. 唐山百川智能机器股份有限公司 唐山 063009
- 折叠
摘要
Abstract
According to the requirements of bolt looseness detection,a bolt looseness image detection method combining deep learning object detection technology and digital image processing technology is proposed.Faster R-CNN is applied to bolt object de-tection,and bolt image preprocess,feature extraction and bolt looseness discrimination algorithms are designed.A certain number of bolt image sets are collected to verify the feasibility and effectiveness of bolt looseness image detection method.Experiments show that the bolt looseness image detection method can accurately locate and identify the bolt in an image,and can effectively detect whether the bolts are loose and the degree of looseness.The image detection method can provide a new solution and technical refer-ence for bolt loosening fault diagnosis.关键词
螺栓松动检测/数字图像处理/深度学习Key words
bolt looseness detection/digital image process/deep learning分类
信息技术与安全科学引用本文复制引用
贺小琼,肖世德,赵斌,江海锋,陈德君..基于深度学习的螺栓松动图像检测方法研究[J].计算机与数字工程,2023,51(11):2682-2688,7.
