Multi-objective optimization of magnetic sensor with conductor plate for rail wheel detection

Hiroyuki Kuwahara, Yuya Maruyama, Shinji Wakao, Masahide Takahashi, Makoto Yagi, Tamio Okutani, Yoshifumi Okamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The axle counter which detects the position of the train is important railway signal device. This paper deals with a multi-objective optimization of the axle counter by 3D magnetic field analysis. In the optimization, we newly propose the introduction of the conductor plate and carry out its design optimization. It is revealed that the shape optimization of conductor plate enables us to well improve the detection performance of the axle counter from the multi-objective point of view.

Original languageEnglish
Title of host publicationIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509010325
DOIs
Publication statusPublished - 2017 Jan 12
Event17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, United States
Duration: 2016 Nov 132016 Nov 16

Publication series

NameIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation

Other

Other17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
Country/TerritoryUnited States
CityMiami
Period16/11/1316/11/16

Keywords

  • Finite element analysis
  • Induced voltage
  • Level-Set method
  • Multi-objective design optimization

ASJC Scopus subject areas

  • Computational Mathematics
  • Instrumentation
  • Electrical and Electronic Engineering

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