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Research on feature of series arc fault based on improved SVD 基于改进奇异值分解的串联电弧故障特征研究
2017 IEEE Holm Conference on Electrical Contacts Pub Date : 2017-09-01 DOI: 10.1109/HOLM.2017.8088107
Hongxin Gao, Xili Wang, Tuannghia Nguyen, Fengyi Guo, Zhiyong Wang, Jianglong You, Yong Deng
{"title":"Research on feature of series arc fault based on improved SVD","authors":"Hongxin Gao, Xili Wang, Tuannghia Nguyen, Fengyi Guo, Zhiyong Wang, Jianglong You, Yong Deng","doi":"10.1109/HOLM.2017.8088107","DOIUrl":"https://doi.org/10.1109/HOLM.2017.8088107","url":null,"abstract":"In order to study the feature and extraction methods of series arc fault, the series arc fault experiments under different current conditions were carried out with the motor load and inverter respectively. A method of feature extraction based on improved singular value decomposition was proposed, and arc faults were distinguished by support vector machine (SVM). SVM was optimized by genetic algorithm (GA). Current signals were used to structure the attractor track matrix, and the time- delay step of the matrix was reconstructed by autocorrelation analysis. By means of singular value decomposition of the trace matrix, singular values of the matrix were obtained, the feature of arc fault were obtained by screening these values. Finally, GA- SVM was used to test the feature of the arc fault. The results showed that the method could effectively extract the series arc fault feature in the motor and inverter load circuit.","PeriodicalId":354484,"journal":{"name":"2017 IEEE Holm Conference on Electrical Contacts","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121744858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
In-situ synthesized silver-graphene nanocomposite with enhanced electrical and mechanical properties 原位合成具有增强电学和力学性能的银-石墨烯纳米复合材料
2017 IEEE Holm Conference on Electrical Contacts Pub Date : 2017-09-01 DOI: 10.1109/HOLM.2017.8088091
Pengpeng Wang, Z. Wei, Minhua Shen, H. Pan, Jun Fu, Lesheng Chen
{"title":"In-situ synthesized silver-graphene nanocomposite with enhanced electrical and mechanical properties","authors":"Pengpeng Wang, Z. Wei, Minhua Shen, H. Pan, Jun Fu, Lesheng Chen","doi":"10.1109/HOLM.2017.8088091","DOIUrl":"https://doi.org/10.1109/HOLM.2017.8088091","url":null,"abstract":"Silver-graphene composite materials with enhanced electrical and mechanical properties are reported in this work. Ag nanoparticles are in-situ synthesized on the graphene oxide (GO) by chemical reduction of Ag salt mixed with GO in aqueous solution. After hydrogen reduction of GO, powder metallurgy technique and hot-extruding are employed to prepare Ag-rGO composite bulk material. The composite shows improved mechanical properties. The tensile strength of Ag-rGO composite is up to 190 MPa, 5.5% higher than that of pure Ag. The hardness of Ag-rGO is as high as 75 (HV), which is much higher than most carbon-reinforced Ag materials. Moreover, the ductility and conductivity of the Ag-rGO composite material still keep 43% and 1.6 μΩ cm, respectively. The electrical endurance test demonstrates the Ag-rGO composites owns excellent electrical properties. The material has an electrical endurance of 400,000 under current of 20 A and voltage of 220 V. This promising material has great potential application in electric apparatus.","PeriodicalId":354484,"journal":{"name":"2017 IEEE Holm Conference on Electrical Contacts","volume":" 526","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113946750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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