Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods

D. Morinigo-Sotelo, R. J. Romero-Troncoso, J. A. Antonino-Daviu, Konstantinos N. Gyftakis

    Research output: Contribution to conferencePaper

    6 Citations (Scopus)
    191 Downloads (Pure)

    Abstract

    Induction motors are used in a variety of industrial applications where frequent startups are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signal classification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady state operation of the induction motor.
    Original languageEnglish
    Pages2881-2886
    DOIs
    Publication statusPublished - 3 Nov 2016
    EventXXIIth International Conference on Electrical Machines - Lausanne, Switzerland
    Duration: 4 Sept 20167 Sept 2016

    Conference

    ConferenceXXIIth International Conference on Electrical Machines
    Abbreviated titleICEM'2016
    Country/TerritorySwitzerland
    CityLausanne
    Period4/09/167/09/16

    Bibliographical note

    © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Keywords

    • Broken bar
    • Fault diagnosis
    • Induction
    • motor
    • MUSIC
    • ZSC

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