• DocumentCode
    1511088
  • Title

    Bivariate reliability and availability modeling

  • Author

    Yang, Sang-Chin ; Nachlas, Joel A.

  • Author_Institution
    Chung Cheng Inst. of Technol., Taoyuan, Taiwan
  • Volume
    50
  • Issue
    1
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    26
  • Lastpage
    35
  • Abstract
    Equipment longevity is a resource that is consumed in device operation. For many types of equipment, the resource can be reasonably represented in terms of two (or more) measures. We construct a general framework for specifying bivariate longevity models and incorporating them in availability models. Following an introduction to the domain of study a short taxonomy of model types is provided and indicates which types of models have not been studied. For two classes of bivariate models, their construction is shown, along with how they should be interpreted in relation to commonly used univariate concepts such as hazard functions. Several example models illustrate these points. The construction of bivariate renewal models is shown and their inclusion in basic and preventive maintenance-based availability models is explained. All of these analyses show the development of the bivariate Laplace transforms of the probability measures being studied. Unfortunately, in nearly all cases, the inverse transforms are not yet available. The chief contributions of the paper are the definition of a structure for classifying bivariate problems, description of methods for building and analyzing bivariate models, general presentation of a new domain of research in equipment reliability. Potential extensions and improvements to this work are numerous and the resulting realism in reliability and maintenance models will be important
  • Keywords
    Laplace transforms; failure analysis; maintenance engineering; probability; reliability theory; bivariate Laplace transforms; bivariate availability modeling; bivariate probability analysis; bivariate renewal models; equipment longevity; failure models; hazard functions; inverse transforms; maintenance models; preventive maintenance-based availability models; probability measures; univariate concepts; Automobiles; Availability; Buildings; Hazards; Integrated circuit measurements; Power generation; Power measurement; Preventive maintenance; Production facilities; Taxonomy;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.935013
  • Filename
    935013