user

Genetic algorithm to treat a superconducting magnet calculation as a magnetostatic inverse problem

被引：0
|
作者：
Netter, D [1 ]
Rezzoug, A [1 ]
机构：
[1] Univ Nancy 1, Grp Rech Electrotech & Electron Nancy, F-54506 Vandoeuvre Les Nancy, France
来源：
IEE PROCEEDINGS-SCIENCE MEASUREMENT AND TECHNOLOGY | 2001年 / 148卷 / 06期
关键词：
Current density - Genetic algorithms - Inverse problems - Magnetic field effects - Magnetic flux - Magnetostatics - Mathematical models - Superconducting films;
D O I：
10.1049/ip-smt:20010620
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An original method to compute a superconducting screen is considered. It is shown that this problem is equivalent to a magnetostatic inverse problem, which is solved using a genetic algorithm. This method is appropriate to superconducting films of any shape hecause only surface currents are to be considered for superconducting materials. To illustrate the method two examples are presented.
引用
收藏
页码：253 / 256
页数：4
相关论文
共 50 条
  • [21] Modelling thermodynamics in a high-temperature superconducting dipole magnet: an inverse problem based approach
    Ruuskanen, J.
    Stenvall, A.
    Lahtinen, V
    van Nugteren, J.
    Kirby, G.
    Murtomaki, J.
    SUPERCONDUCTOR SCIENCE & TECHNOLOGY, 2019, 32 (09):
  • [22] Numerical simulation of the inverse problem of magnetostatic flaw detection
    Pechenkov, AN
    RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING, 2005, 41 (11) : 719 - 723
  • [23] GENETIC ALGORITHM RESEACH AND APPLICATION IN PARAMETER IDENTIFICATION INVERSE PROBLEM
    Peng, Ya-Mian
    Liu, Chun-Feng
    Yang, Ai-Min
    Chang, Jin-Cai
    Ji, Nan
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 1749 - 1753
  • [24] Configuring Genetic Algorithm to Solve the Inverse Heat Conduction Problem
    Szenasi, Sandor
    Felde, Imre
    ACTA POLYTECHNICA HUNGARICA, 2017, 14 (06) : 133 - 152
  • [25] A genetic algorithm for solving the inverse problem of support vector machines
    Wang, XZ
    He, Q
    Chen, DG
    Yeung, D
    NEUROCOMPUTING, 2005, 68 : 225 - 238
  • [26] Configuring Genetic Algorithm to Solve the Inverse Heat Conduction Problem
    Szenasi, Sandor
    Felde, Imre
    2017 IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI), 2017, : 387 - 391
  • [27] Genetic algorithm behaviour in the solution of an inverse thermal field problem
    Wood, RL
    ENGINEERING COMPUTATIONS, 1996, 13 (05) : 38 - &
  • [28] INVERSE MAGNETIC FIELD READOUT FOR SUPERCONDUCTING MAGNET SWEEPS
    SULLIVAN, PF
    REVIEW OF SCIENTIFIC INSTRUMENTS, 1966, 37 (06): : 730 - &
  • [29] Solving the inverse magnetostatic problem using fictitious magnetic charges
    Wautischer, Gregor
    Bruckner, Florian
    Abert, Claas
    Suess, Dieter
    Koeck, Helmut
    Sanchez, Mikel Eizaguirre
    AIP ADVANCES, 2018, 8 (05)
  • [30] Resolution of linear magnetostatic inverse problem using iterative regularization
    Bégot, S
    Voisin, E
    Hiebel, P
    Kauffmann, JM
    Artioukhine, E
    EUROPEAN PHYSICAL JOURNAL-APPLIED PHYSICS, 2000, 12 (02): : 123 - 131
12345