• DocumentCode
    1909645
  • Title

    System-Level Maintenance Policies via Stochastic Petri nets with Aging Tokens

  • Author

    Volovoi, Vitali

  • Author_Institution
    Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2007
  • fDate
    22-25 Jan. 2007
  • Firstpage
    89
  • Lastpage
    94
  • Abstract
    This paper describes modeling of system-level maintenance policies using stochastic Petri nets (SPN) with aging tokens. It demonstrates the ability of SPN to capture complex dynamic interaction among various factors affecting maintenance effectiveness both at the component and system level in a visual yet rigorous fashion. In particular, flexible modeling of degradation processes at the component level is combined with capturing the effects of external constraints imposed by system-level considerations. The paper considers two examples of SPN modeling that demonstrate basic building blocks for evaluating various operation and maintenance policies by means of system-level metrics such as total operating costs. The first example addresses opportunistic repair and provides a comparison with optimal replacement policies at the random and fixed intervals. The second example deals with condition-based maintenance based on imperfect inspection. Quantification of the benefits and the drawbacks of the corresponding maintenance policies is provided
  • Keywords
    Petri nets; inspection; maintenance engineering; mechanical engineering; reliability; stochastic processes; aging tokens; condition-based maintenance; degradation processes; imperfect inspection; optimal replacement policies; stochastic Petri nets; system-level maintenance policies; Aging; Degradation; Inspection; Java; Logistics; Petri nets; Preventive maintenance; Reliability engineering; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 2007. RAMS '07. Annual
  • Conference_Location
    Orlando, FL
  • ISSN
    0149-144X
  • Print_ISBN
    0-7803-9766-5
  • Electronic_ISBN
    0149-144X
  • Type

    conf

  • DOI
    10.1109/RAMS.2007.328049
  • Filename
    4126330