A New Space Vector Approach to Detect Stator Faults in Induction Motors

Kostas Gyftakis, A. J. M. Cardoso

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

    12 Citations (Scopus)
    85 Downloads (Pure)

    Abstract

    Although induction motors are robust devices, faults may appear and so reliable and stable operation is required. More aspects need to be addressed nowadays in terms of condition monitoring. It is necessary to extract as much information as possible related to the overall motor condition and health. Also, different levels of diagnosis are required, as well necessity of detecting the fault level severity and avoiding false positive/negative alarms. This paper presents a new method to detect stator inter-turn faults in induction motors using a new space vector approach. This new vector is based on the higher harmonic index of the Park’s Vector. It is revealed that the time-representation of this vector offers a reliable diagnostic alarm. Moreover, the frequency spectrum of the proposed vector’s modulus can be studied and analyzed to extract more information regarding the fault level severity.
    Original languageEnglish
    Title of host publication2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
    PublisherIEEE
    Pages232-237
    Number of pages6
    ISBN (Electronic) 978-1-5090-5853-2
    DOIs
    Publication statusPublished - 15 Jun 2017
    Event2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis - University of Nottingham, Nottingham, United Kingdom
    Duration: 20 Apr 201721 Apr 2017
    http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=40025

    Conference

    Conference2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis
    Abbreviated titleWEMDCD
    Country/TerritoryUnited Kingdom
    CityNottingham
    Period20/04/1721/04/17
    Internet address

    Bibliographical note

    © 2017 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.
    Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium
    without the formal permission of the copyright holders.

    Keywords

    • Condition Monitoring
    • fault diagnosis
    • finite element method
    • induction motor
    • stator fault

    Fingerprint

    Dive into the research topics of 'A New Space Vector Approach to Detect Stator Faults in Induction Motors'. Together they form a unique fingerprint.

    Cite this