IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v167y2020icp250-266.html
   My bibliography  Save this article

Elimination of broken rotor bars false indications in induction machines

Author

Listed:
  • Guellout, O.
  • Rezig, A.
  • Touati, S.
  • Djerdir, A.

Abstract

This work illustrates a method to detect and separate the broken rotor bars (BRBs) from load torque oscillations (LTOs) in motor’s line current signature. The LTOs (due to mechanical load condition abnormalities, load fluctuations like speed reduction couplings or a defective transmission) can introduce similar symptoms as the rotor cage breaks do. The proposed policy is based on the set of two rotating coordinates (same and inverse angular velocity as the current’s fundamental frequency ω) for the stator current vector, and its decomposition into positive and negative components. The extracted components of the positive sequence allow to separate the similar effects produced by rotor defects and the oscillating load . The detection and separation process is performed through the demodulation of the amplitude modulating signal due to BRBs and the phase modulating signal due to LTOs. An experimental test bench has been conducted to validate the simulation results and demonstrate the effectiveness of the proposed approach.

Suggested Citation

  • Guellout, O. & Rezig, A. & Touati, S. & Djerdir, A., 2020. "Elimination of broken rotor bars false indications in induction machines," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 167(C), pages 250-266.
  • Handle: RePEc:eee:matcom:v:167:y:2020:i:c:p:250-266
    DOI: 10.1016/j.matcom.2019.06.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475419302083
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2019.06.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tomas Garcia-Calva & Daniel Morinigo-Sotelo & Vanessa Fernandez-Cavero & Rene Romero-Troncoso, 2022. "Early Detection of Faults in Induction Motors—A Review," Energies, MDPI, vol. 15(21), pages 1-18, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:167:y:2020:i:c:p:250-266. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.