IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v28y2017i6d10.1007_s10845-015-1048-2.html
   My bibliography  Save this article

Condition monitoring of induction motors via instantaneous power analysis

Author

Listed:
  • Muhammad Irfan

    (Universiti Teknologi PETRONAS)

  • Nordin Saad

    (Universiti Teknologi PETRONAS)

  • Rosdiazli Ibrahim

    (Universiti Teknologi PETRONAS)

  • Vijanth S. Asirvadam

    (Universiti Teknologi PETRONAS)

Abstract

Condition monitoring is an important factor in assuring the well-being of motors. Existing approaches of condition monitoring require access to the motor for sensor installation. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. In this study, the methodology taken in developing a condition monitoring system for motor bearing fault identification, utilizing the commonly available motor stator current and voltage is demonstrated. This unique diagnostic condition monitoring system provides continuous real time tracking of the various bearing defects and determines the fault severity which can be adopted for fast decision making. The study on different bearing faults under no-load and full-load conditions was carried out experimentally and then analyzed. The results on the real hardware implementation have confirmed the effectiveness of the proposed approach.

Suggested Citation

  • Muhammad Irfan & Nordin Saad & Rosdiazli Ibrahim & Vijanth S. Asirvadam, 2017. "Condition monitoring of induction motors via instantaneous power analysis," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1259-1267, August.
  • Handle: RePEc:spr:joinma:v:28:y:2017:i:6:d:10.1007_s10845-015-1048-2
    DOI: 10.1007/s10845-015-1048-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-015-1048-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10845-015-1048-2?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.

    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:spr:joinma:v:28:y:2017:i:6:d:10.1007_s10845-015-1048-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.