Z. J. Tan, G. Y. Chen, L. Luan, Z. Y. Yu, R. Zhang, W. Tang
{"title":"基于双聚类的XLPE电力电缆寿命评估新算法","authors":"Z. J. Tan, G. Y. Chen, L. Luan, Z. Y. Yu, R. Zhang, W. Tang","doi":"10.1109/EPEC.2017.8286144","DOIUrl":null,"url":null,"abstract":"With prolonged operation durations of XLPE power cables, how to determine asset replacement time to avoid the accident caused by aging has become a major issue. In this paper, the biclustering completion (BC) principle is proved for restoring missing elements of a matrix and is firstly applied in the cable life evaluation. Six indicators such as load elongation, permanent elongation, breaking elongation, differential scanning calorimetry peak temperature, breakdown test rate and insulation resistance are selected to the life evaluation of XLPE power cables. The simulation results show that the biclustering algorithm is better than the traditional backpropagation algorithm and regression algorithm in accuracy and robustness.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel life evaluation algorithm of XLPE Power cables based on biclustering\",\"authors\":\"Z. J. Tan, G. Y. Chen, L. Luan, Z. Y. Yu, R. Zhang, W. Tang\",\"doi\":\"10.1109/EPEC.2017.8286144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With prolonged operation durations of XLPE power cables, how to determine asset replacement time to avoid the accident caused by aging has become a major issue. In this paper, the biclustering completion (BC) principle is proved for restoring missing elements of a matrix and is firstly applied in the cable life evaluation. Six indicators such as load elongation, permanent elongation, breaking elongation, differential scanning calorimetry peak temperature, breakdown test rate and insulation resistance are selected to the life evaluation of XLPE power cables. The simulation results show that the biclustering algorithm is better than the traditional backpropagation algorithm and regression algorithm in accuracy and robustness.\",\"PeriodicalId\":141250,\"journal\":{\"name\":\"2017 IEEE Electrical Power and Energy Conference (EPEC)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Electrical Power and Energy Conference (EPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEC.2017.8286144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2017.8286144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel life evaluation algorithm of XLPE Power cables based on biclustering
With prolonged operation durations of XLPE power cables, how to determine asset replacement time to avoid the accident caused by aging has become a major issue. In this paper, the biclustering completion (BC) principle is proved for restoring missing elements of a matrix and is firstly applied in the cable life evaluation. Six indicators such as load elongation, permanent elongation, breaking elongation, differential scanning calorimetry peak temperature, breakdown test rate and insulation resistance are selected to the life evaluation of XLPE power cables. The simulation results show that the biclustering algorithm is better than the traditional backpropagation algorithm and regression algorithm in accuracy and robustness.