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Electromagnetic analysis of line-start synchronous reluctance machines optimized by means of topology optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141369" target="_blank" >RIV/00216305:26220/21:PU141369 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf" target="_blank" >https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Electromagnetic analysis of line-start synchronous reluctance machines optimized by means of topology optimization

  • Original language description

    This paper deals with the electromagnetic analysis of a line-start synchronous reluctance motor optimized by means of topology optimization based on the normalized Gaussian network. Topology optimization using the normalized Gaussian network represents the novel approach for electrical machines improvements. This article evaluates this approach as promising due to the electromagnetic analysis results of selected individual of the Pareto front. The main contribution of this article is a comprehensive electromagnetic analysis of line-start synchronous reluctance machine optimized by the above mention method.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings II of the 27th Conference STUDENT EEICT 2021

  • ISBN

    978-80-214-5943-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    245-249

  • Publisher name

    Brno University of Technology, Faculty of Electrical Engineering

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno

  • Event date

    Apr 27, 2021

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article