• DocumentCode
    1013979
  • Title

    Preventive replacement in systems with dependent components

  • Author

    Albin, S.L. ; Chao, Seng

  • Author_Institution
    Dept. of Ind. Eng., Rutgers Univ., Piscataway, NJ, USA
  • Volume
    41
  • Issue
    2
  • fYear
    1992
  • fDate
    6/1/1992 12:00:00 AM
  • Firstpage
    230
  • Lastpage
    238
  • Abstract
    A multicomponent series system includes a component which deteriorates over time, changing its operating characteristics and, consequently, increasing the failure rates of neighboring components. Preventive replacement of the deteriorating component can be beneficial. Replacement policies that include inspecting the deteriorating component at system failure instances and replacing it if the deterioration exceeds a critical level, or continuously monitoring the deteriorating component are considered. The system is modeled as a Markov chain solved by an efficient algorithm that exploits the system structure. For a two-component system, a closed-form equation gives the critical level for the minimum-average-cost failure-replacement policy. For the general case, replacement policies are evaluated by mean cost rate and by the ratio of the reduction in the number of failures to the number of preventive replacements
  • Keywords
    Markov processes; maintenance engineering; reliability theory; Markov chain; deteriorating component; failure rates; maintenance; mean cost rate; minimum-average-cost failure-replacement policy; multicomponent series system; preventive replacement; reliability; systems with dependent components; two-component system; Chaos; Condition monitoring; Costs; Equations; Independent component analysis; Preventive maintenance; Resistors; Senior members; Stochastic systems; Temperature;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.257786
  • Filename
    257786