IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v41y2009i1p57-64.html
   My bibliography  Save this article

The mean function of a repairable system that is subjected to an imperfect repair policy

Author

Listed:
  • Nader Ebrahimi

Abstract

A repairable system can be simply characterized as a system which is repaired rather than replaced after a failure. In many practical situations, the mean function of a repairable system depends on several explanatory variables referred to as covariates that are time dependent. The mean function is an important figure that represents the expected number of failures up to a certain time. In this article, a repairable policy is proposed by using auxiliary stochastic processes which describe behaviors of these covariates and various properties are derived using the proposed policy. A general method to assess indirectly the mean function of a repairable system by using information on these covariates is also discussed.

Suggested Citation

  • Nader Ebrahimi, 2009. "The mean function of a repairable system that is subjected to an imperfect repair policy," IISE Transactions, Taylor & Francis Journals, vol. 41(1), pages 57-64.
    • Handle: RePEc:taf:uiiexx:v:41:y:2009:i:1:p:57-64
    DOI: 10.1080/07408170802322671
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07408170802322671
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/07408170802322671?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. Si, Xiao-Sheng & Wang, Wenbin & Hu, Chang-Hua & Zhou, Dong-Hua, 2011. "Remaining useful life estimation - A review on the statistical data driven approaches," European Journal of Operational Research, Elsevier, vol. 213(1), pages 1-14, August.

    More about this item

    Statistics

    Access and download statistics

    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:taf:uiiexx:v:41:y:2009:i:1:p:57-64. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.