• DocumentCode
    1423345
  • Title

    Linear and Nonlinear Preventive Maintenance Models

  • Author

    Wu, Shaomin ; Zuo, Ming J.

  • Author_Institution
    Sch. of Appl. Sci., Cranfield Univ., Cranfield, UK
  • Volume
    59
  • Issue
    1
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    242
  • Lastpage
    249
  • Abstract
    Preventive maintenance (PM) is a maintenance program with activities initiated at predetermined intervals, or according to prescribed criteria, and intended to reduce the probability of failure, or the degradation of the functioning of an item. In the literature, a number of PM models have been introduced to depict the effectiveness of PM. Based on these models, approaches to scheduling PM policies have been considerably studied. This paper attempts to review existing PM models, and investigate their inter-relationships. We then categorize these models into three classes: linear, nonlinear, and a hybrid of both. These three PM model classes depict the relationships of the hazard functions before, and after a PM. Possible extensions to these three PM models are discussed. The statistical properties for models are derived, and approaches to optimizing the PM policy are given.
  • Keywords
    hazards; maintenance engineering; scheduling; statistical analysis; hazard functions; maintenance program; nonlinear preventive maintenance models; scheduling; statistical properties; Corrective maintenance; hazard function; linear preventive maintenance; maintenance effectiveness; nonlinear preventive maintenance; preventive maintenance;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2010.2041972
  • Filename
    5418928