{"title":"基于智能手机高光谱相机确定硅橡胶绝缘子的老化状态","authors":"Lincong Chen, Xiaolin Chen, Xinran Li, Xiaotao Fu, Ruien Zhang, Tianci Wang","doi":"10.1109/POWERCON53785.2021.9697839","DOIUrl":null,"url":null,"abstract":"In the power industry, silicone rubber composite insulators are widely used. This article introduces a set of methods for judging the aging degree of silicone rubber composite insulators on site, including our handheld compact and low-cost hyperspectral camera and classification algorithm. The hyperspectral camera has the advantages of compactness, stable working performance, and Broad spectral detection range (400nm-1000nm). After connecting the hyperspectral camera to the smart mobile terminal,We also through the APP we developed, which completes the visualization of spectral data, can display the real-time spectral of the silicone rubber composite insulator sample on the screen of the smart terminal. In addition, we build a composite insulator aging prediction model based on the three algorithms of SVM(support vector machines), KNN(K-NearestNeighbor) and decision tree. The results show that the SVM model has the best effect. And the prediction accuracy of this model is 96.09%. it means that the model has high feasibility for predicting the aging degree of composite insulators.","PeriodicalId":216155,"journal":{"name":"2021 International Conference on Power System Technology (POWERCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determine the aging status of silicone rubber insulators base on smartphone hyperspectral cameras\",\"authors\":\"Lincong Chen, Xiaolin Chen, Xinran Li, Xiaotao Fu, Ruien Zhang, Tianci Wang\",\"doi\":\"10.1109/POWERCON53785.2021.9697839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the power industry, silicone rubber composite insulators are widely used. This article introduces a set of methods for judging the aging degree of silicone rubber composite insulators on site, including our handheld compact and low-cost hyperspectral camera and classification algorithm. The hyperspectral camera has the advantages of compactness, stable working performance, and Broad spectral detection range (400nm-1000nm). After connecting the hyperspectral camera to the smart mobile terminal,We also through the APP we developed, which completes the visualization of spectral data, can display the real-time spectral of the silicone rubber composite insulator sample on the screen of the smart terminal. In addition, we build a composite insulator aging prediction model based on the three algorithms of SVM(support vector machines), KNN(K-NearestNeighbor) and decision tree. The results show that the SVM model has the best effect. And the prediction accuracy of this model is 96.09%. it means that the model has high feasibility for predicting the aging degree of composite insulators.\",\"PeriodicalId\":216155,\"journal\":{\"name\":\"2021 International Conference on Power System Technology (POWERCON)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Power System Technology (POWERCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/POWERCON53785.2021.9697839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Power System Technology (POWERCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERCON53785.2021.9697839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determine the aging status of silicone rubber insulators base on smartphone hyperspectral cameras
In the power industry, silicone rubber composite insulators are widely used. This article introduces a set of methods for judging the aging degree of silicone rubber composite insulators on site, including our handheld compact and low-cost hyperspectral camera and classification algorithm. The hyperspectral camera has the advantages of compactness, stable working performance, and Broad spectral detection range (400nm-1000nm). After connecting the hyperspectral camera to the smart mobile terminal,We also through the APP we developed, which completes the visualization of spectral data, can display the real-time spectral of the silicone rubber composite insulator sample on the screen of the smart terminal. In addition, we build a composite insulator aging prediction model based on the three algorithms of SVM(support vector machines), KNN(K-NearestNeighbor) and decision tree. The results show that the SVM model has the best effect. And the prediction accuracy of this model is 96.09%. it means that the model has high feasibility for predicting the aging degree of composite insulators.