FEM Study of Induction Machines Suffering from Rotor Electrical Faults Using Stray Flux Signature Analysis

Panagiotis Panagiotou, Ioannis Arvanitakis, Neophytos Lophitis, Konstantinos N. Gyftakis

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    6 Citations (Scopus)
    193 Downloads (Pure)

    Abstract

    The wide range of applications using induction machines has been enhanced with the rapid evolution of condition monitoring and variable speed drives. The latter two, along with their constantly growing demands, have raised the necessity of new approaches and techniques in fault diagnostics. A reliable solution to this matter, has proven to be the monitoring of stray magnetic flux. Accounted for in different locations on the machine's peripheral area and with different measurement techniques, the stray flux provides valuable information for fault detection and identification. This paper aims to apply one of these diagnostic strategies and the related measurement of stray flux using FEM, to evaluate its performance and diagnostic capability on two machines of different size and power rating and conclude on the quantitative effectiveness of such strategies.
    Original languageEnglish
    Title of host publication 2018 XIII International Conference on Electrical Machines (ICEM)
    PublisherIEEE
    Pages1861-1867
    Number of pages7
    ISBN (Electronic)978-1-5386-2477-7
    ISBN (Print) 978-1-5386-2478-4
    DOIs
    Publication statusPublished - 25 Oct 2018
    EventXIII International Conference on Electrical Machines - Alexandroupoli, Greece
    Duration: 3 Sept 20186 Sept 2018
    http://www.icem.cc/2018/

    Conference

    ConferenceXIII International Conference on Electrical Machines
    Abbreviated titleICEM 2018
    Country/TerritoryGreece
    CityAlexandroupoli
    Period3/09/186/09/18
    Internet address

    Keywords

    • stray flux
    • condition monitoring
    • induction machines
    • flux sensors

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