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Switching arc inversion based on analysis of electromagnetic characteristics  ( EI收录)   被引量:3

文献类型:期刊文献

英文题名:Switching arc inversion based on analysis of electromagnetic characteristics

作者:Zhao, Hongchen Liu, Xiaoming Wang, Gang

第一作者:Zhao, Hongchen

通信作者:Zhao, HC[1]

机构:[1]Shenyang Univ Technol, Sch Elect Engn, Shenyang 110870, Peoples R China;[2]Tianjin Key Lab Adv Elect Engn & Energy Technol, Tianjin 300387, Peoples R China;[3]Guizhou Inst Technol, Sch Mech Engn, Guiyang 550003, Peoples R China

第一机构:Shenyang Univ Technol, Sch Elect Engn, Shenyang 110870, Peoples R China

通信机构:corresponding author), Shenyang Univ Technol, Sch Elect Engn, Shenyang 110870, Peoples R China.

年份:2019

卷号:3

外文期刊名:RESULTS IN ENGINEERING

收录:EI(收录号:20212810629366);Scopus(收录号:2-s2.0-85068879163);WOS:【ESCI(收录号:WOS:000659164600001)】;

基金:This work is supported by the National Natural Science Foundation of China under grant 51377106. We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

语种:英文

外文关键词:Inversion method; MPGA; Switching arc; TGSVD

摘要:It is difficult to describe the characteristics of an arc in low-voltage switching equipment in terms of its most essential features using conventional arc models. In this paper, arc inversion is introduced to explore a new research approach to examine the nature of low-voltage switching arcs. Based on electromagnetic analysis, the arc is equivalent to a group of threadlike current segments. Then, the arc parameters are obtained by inverting the magnetic data calculated at the sampling point array. The multi-population genetic algorithm (MPGA) is adopted to solve the Biot-Savart operator equations to search the arc position, with the current density inverted by the truncated generalized singular value decomposition (TGSVD), in which the regularization parameter is chosen by the generalized cross-validation (GCV) criterion. The result shows that, by combining the MPGA with TGSVD, both the position and current distribution of an arc can be reconstructed accurately, which can help realize arc control and guide the design of low-voltage switches with improved performance parameters.

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