IDEAS home Printed from https://ideas.repec.org/a/ids/ijrsaf/v13y2019i4p267-290.html
   My bibliography  Save this article

Probabilistic evaluation and design aspects for reliability enhancement of induction motor

Author

Listed:
  • Sanjay Kumar
  • K.S. Anand Kumar
  • Sachin Kumar
  • Om Prakash Bharti
  • Lokesh Varshney
  • R.K. Saket
  • D.N. Vishwakarma

Abstract

This paper presents the probabilistic evaluation, design aspects and scientific suggestions to improve the reliability and performance of an industrial induction motor. The induction motors have experienced a long life and a high efficiency in service with appropriate design and quality control. However, reliability quantification and adequacy evaluation are still necessary and important for customer satisfaction, design improvement, marketing, vendor selection, production plan, service life determination, and scheduled maintenance. The industrial data related to manufacturing and failure of induction motors are analysed for reliability assessment and design suggestions. The reliability indices like Mean Time Between Failure (MTBF) and failure rate of induction motors are evaluated using industrial data-based exponential probabilistic distribution function, which is issued to plan the maintenance schedule of the industrial induction motors. The technological suggestions are finally presented in this paper to reduce the failure rate and enhance the MTBF for reliability improvement of induction motors.

Suggested Citation

  • Sanjay Kumar & K.S. Anand Kumar & Sachin Kumar & Om Prakash Bharti & Lokesh Varshney & R.K. Saket & D.N. Vishwakarma, 2019. "Probabilistic evaluation and design aspects for reliability enhancement of induction motor," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 13(4), pages 267-290.
    • Handle: RePEc:ids:ijrsaf:v:13:y:2019:i:4:p:267-290
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=102879
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijrsaf:v:13:y:2019:i:4:p:267-290. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=98 .

    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.