• DocumentCode
    1321355
  • Title

    Statistical Fatigue Models: A Survey

  • Author

    Singpurwalla, Nozer D.

  • Author_Institution
    Department of Operations Research, George Washington University, Washington, D.C. 20006.
  • Issue
    3
  • fYear
    1971
  • Firstpage
    185
  • Lastpage
    189
  • Abstract
    This paper attempts to bring together some of the well known and some of the lesser known probability distributions that are candidates for failure models in reliability studies. Each probability distribution is discussed in the light of a physical process that gives rise to it and as such provides a better insight to its potential user. Alternately, a user faced with the task of choosing a failure distribution can direct his choice by determining which of the physical causes discussed here best fits into his situation. The results presented in this paper, some of them very recent, have appeared in the literature, but in a scattered form. To the knowledge of this author, there is no single source of literature that presents all the failure distributions in a comprehensive form. This presentation will enable the reliability analyst to view failure distributions in a more complete context.
  • Keywords
    Art; Electric shock; Exponential distribution; Failure analysis; Fatigue; Hazards; Light scattering; Operations research; Probability density function; Probability distribution;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1971.5216124
  • Filename
    5216124