高压电器2025，Vol.61Issue(3)：160-167,8.DOI:10.13296/j.1001-1609.hva.2025.03.019
基于支持向量机的电网设备绝缘材料缺陷太赫兹成像方法
Terahertz Imaging Method of Insulation Material Defects in Power Grid Equipment Based on Support Vector Machine Algorithm
摘要
Abstract
Insulation materials of power grid equipment are prone to defects in the process of production,transporta-tion,construction and operation,which seriously affects safe operation of power grid.In order to realize the nonde-structive detection of insulation material defects,a terahertz 2D imaging method based on support vector machine(SVM)is proposed in this paper.Such Three kinds of insulation materials samples as PE,PVC and silicone rubber are prepared for testing,and the accuracy of defect identification is not less than 92.3%.In terms of imaging,the SVM imaging method,compared with the traditional feature parameter imaging method,has a better distinction between defect and non-defect region,the edge transition region is obviously narrower and the imaging quality is higher.关键词
绝缘材料/太赫兹成像/支持向量机/缺陷识别Key words
insulation materials/terahertz imaging/support vector machine(SVM)/defect recognition引用本文复制引用
王磊,梅红伟,刘建军,陈大兵,江怀远,王黎明..基于支持向量机的电网设备绝缘材料缺陷太赫兹成像方法[J].高压电器,2025,61(3):160-167,8.基金项目
国家电网公司科技项目(5500-202118134A-0-0-00).Project Supported by the Science and Technology Project of State Grid Corporation(5500-202118134A-0-0-00). （5500-202118134A-0-0-00）
