• DocumentCode
    3514246
  • Title

    Equipment reliability estimation of complete samples under varied environment

  • Author

    Hu, Yao ; Yang, Mei

  • Author_Institution
    Dept. of Math., Guizhou Univ., Guiyang, China
  • fYear
    2009
  • fDate
    20-24 July 2009
  • Firstpage
    333
  • Lastpage
    338
  • Abstract
    The article studies the reliability estimation of normal, lognormal, exponential and Weibull´s equipment lifetime complete samples of varied environment. Under different environment conditions, one equipment shows different reliability. When the environment condition changes, the equipment reliability becomes a function of the environment, which is called a reliability curve. Given the estimation of the reliability curve, one can predict the equipment reliability for unknown environment. This paper gives the reliability estimator at lifetime parameter function of environment indictor under the conditions of sigma and shape or slope parameter fixed. The strong consistency of estimator is proved by using probability and statistics methods. Meanwhile the computer simulation shows that the estimate method is practical.
  • Keywords
    Weibull distribution; exponential distribution; log normal distribution; reliability theory; Weibull equipment lifetime; environmental condition; equipment reliability estimation; exponential equipment lifetime; lifetime parameter function; lognormal equipment lifetime; normal equipment lifetime; probability method; reliability curve; statistics; Computer simulation; Distribution functions; Life estimation; Lifetime estimation; Mathematics; Reliability engineering; Shape; Systems engineering and theory; Tellurium; Weibull distribution; complete samples; lifetime distributions; reliability estimation; strong consistency; varied environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4903-3
  • Electronic_ISBN
    978-1-4244-4905-7
  • Type

    conf

  • DOI
    10.1109/ICRMS.2009.5270176
  • Filename
    5270176