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

    Other

    Other17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
    CountryUnited 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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  • Cite this

    Kuwahara, H., Maruyama, Y., Wakao, S., Takahashi, M., Yagi, M., Okutani, T., & Okamoto, Y. (2017). Multi-objective optimization of magnetic sensor with conductor plate for rail wheel detection. In IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation [7816281] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEFC.2016.7816281