MURAL - Maynooth University Research Archive Library

    New Spectral Markers for Broken Bars Diagnostics in Induction Motors

    Baranov, Georgii D. and Nepomuceno, Erivelton and Vaganov, Michail A. and Ostrovskii, Valerii Y. and Butusov, Denis N. (2020) New Spectral Markers for Broken Bars Diagnostics in Induction Motors. Machines, 8 (1). p. 6. ISSN 2075-1702

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    The paper discusses the spectral markers of fault rotor bars in induction motor current signature analysis (MCSA). The results of the simulation of the deterioration process for a single rotor bar, as well as the results of research for various mutual bracing of two broken bars, are reported. We proposed a simple empiric technique allowing one to obtain frequencies for spectrum markers of damaged rotor bars based on simulation analysis. The set of frequencies obtained in the experimental part of the study was compared with simulation results and the results of real-life measurements. The theoretical results were verified through the experiment with the real induction motor under load. Analysis of experimental results proved that the given algorithm for spectrum analysis is suitable for early detection of fault rotor bars in induction motors.

    Item Type: Article
    Keywords: rotor bar fault; induction machine; finite-element analysis; motor current; signature analysis;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16706
    Identification Number:
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 15 Nov 2022 16:37
    Journal or Publication Title: Machines
    Publisher: MDPI
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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