现代电子技术2017，Vol.40Issue(22)：176-178,3.DOI:10.16652/j.issn.1004-373x.2017.22.052
基于智能图像的变电站设备绝缘子破裂裂纹识别研究
Research on substation equipment insulator crack identification based on intelligent images
摘要
Abstract
In order to improve the fault diagnosis capability of substation equipment insulators,a crack identification method based on intelligent image information fusion and edge contour segmentation detection is proposed for detecting cracks on substa-tion equipment insulators. The laser 3D scanning technology is adopted to collect images of substation equipment insulators and perform information fusion for the collected images in which insulators with cracks are identified. The 3D area contour scanning method is adopted to perform edge contour segmentation detection and information enhancement for cracks on substation equip-ment insulators. The crack corner distribution information of substation equipment insulators are processed with histogram equalization in affine invariant areas to realize the crack identification of substation equipment insulators. The simulation results show that the method has high accuracy for crack identification of substation equipment insulators and high peak signal-to-noise ratios(SNRs)of output images,which indicates its good identification performance of images with cracks on the insulators.关键词
智能图像/变电站设备/绝缘子/破裂裂纹识别Key words
intelligent image/substation equipment/insulator/crack identification分类
信息技术与安全科学引用本文复制引用
姚楠,蔡越,苗佳..基于智能图像的变电站设备绝缘子破裂裂纹识别研究[J].现代电子技术,2017,40(22):176-178,3.基金项目
国家自然科学基金(41161045) （41161045）
