Art

J-GLOBAL ID：201702227800800664   Reference number：17A0095968

Single-ended Fault Location for UHVDC Transmission Line Based on Propagation Time Gap Between Zero and Aerial Mode

弾性率の伝送時間差を利用した超高電圧直流送電線の故障点標定【JST・京大機械翻訳】

Author (5)： Chen Shilong (School of Electric Power Engineering,Kunming University of Science and Technology) ,  Li Jianping (School of Electric Power Engineering,Kunming University of Science and Technology) ,  Xie Jiawei (School of Electric Power Engineering,Kunming University of Science and Technology) ,  Bi Guihong (School of Electric Power Engineering,Kunming University of Science and Technology) ,  Luo Lu (School of Electric Power Engineering,Kunming University of Science and Technology)
Material： Dianli Xitong Jiqi Zidonghua Xuebao  (Proceedings of the Chinese Society of Universities for Electric Power System and Automation)
Volume： 28  Issue： 8  Page： 20-24  Publication year： 2016 
JST Material Number： C2509A  ISSN： 1003-8930  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： There is a nonlinear relations...

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Thesaurus term： wavelet transform ,  *failure ,  frequency band ,  *DC power transmission ,  *power-transmission line ,  approximation method ,  elastic modulus ,  neural network(biomodel) ,  *fault location
Semi thesaurus term： *HVDC ,  神経回路網モデル ,  特徴量 ,  逆伝播ニューラルネットワーク ,  *UHV【電圧】 ,  *時間差 , 【Automatic Indexing@JST】

Author keywords (5)： ultra high voltage direct current(UHVDC) ,  traveling wave ,  neural network ,  wavelet decomposition ,  fault location

JST classification (1)： Artificial intelligence  (JE08000Z)

Terms in the title (5)： 弾性率 ,  伝送時間 ,  高電圧直流 ,  送電線 ,  故障点標定