高压电器2018，Vol.54Issue(2)：97-102,6.DOI:10.13296/j.1001-1609.hva.2018.02.016
基于红外成像技术的零值绝缘子检测
Zero Insulator Detectionbased on the Infrared Imaging Technology
苑利 1赵锐 1谭孝元 2苟先太2
作者信息
- 1. 国网山西省电力公司大同供电公司,山西大同037000
- 2. 西南交通大学电气工程学院,成都610031
- 折叠
摘要
Abstract
A method is proposed to identify zero resistance insulators under various pollution levels,humidity and temperature conditions by combining the insulator infrared image and the support vector machine(SVM).First of all,the insulator string infrared images got from power system are preprocessed.After the insulator string infrared image preprocessing,the two-dimensional Otsu algorithm is used to segment the infrared image,obtaining the binary image.The edge detection algorithm is used to extract the edge image of insulator string.The least square method is used to fit the insulator disk edge image,getting the disk elliptic equations.Then the elliptic equation is used to extract the single insulator disk.Temperature features of single insulator disk are extracted.The method of three factor analysis of variance is used to select features not affected by the insulator polluted degree,environmental humidity and temperature affected parameters as characteristic parameters.Radial basis kernel function is selected as the kernel function of support vector machines(SVM).The LibVSM tools based on cross validation in the grid search method of parameter selection and training set data are used to determine the kernel function parameter and error price.Finally,the test data are used to test the identification model.The recognition rate obtained is higher,satisfying the requirement of the preset.关键词
零值绝缘子/红外图像/特征提取/核函数/支持向量机/训练/识别Key words
zero insulator/infrared image/feature extraction/kernel function/support vector machine (SVM)/training/identify引用本文复制引用
苑利,赵锐,谭孝元,苟先太..基于红外成像技术的零值绝缘子检测[J].高压电器,2018,54(2):97-102,6.
