• DocumentCode
    1350177
  • Title

    Estimating the Inspection Survivability

  • Author

    Schultz, Carl R.

  • Author_Institution
    R.O. Anderson Schools of Management; University of New Mexico; Albuquerque, NM 87131 USA.
  • Issue
    2
  • fYear
    1983
  • fDate
    6/1/1983 12:00:00 AM
  • Firstpage
    193
  • Lastpage
    196
  • Abstract
    Expressions are given for the mean and variance of a simple unbiased estimator of the probability that a renewable system will be able to pass a given inspection (inspection survivability). Inspections are periodic and 100% accurate, but can damage the system. Numerical examples illustrate how sample size, inspection interval length, and failure rate affect the estimator´s mean and variance.
  • Keywords
    Art; Failure analysis; Inspection; Length measurement; Power system restoration; Production planning; Production systems; Reliability theory; Size measurement; State estimation; Hazardous inspection; Inspection survivability; Periodic inspection; Renewable system;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1983.5221529
  • Filename
    5221529