• DocumentCode
    3589861
  • Title

    Research on nonparametric method of reliability evaluation in context of mixed distribution

  • Author

    Anwei Shen ; Jilian Guo ; Zhuojian Wang ; Jilong Zhong ; Xu Du

  • Author_Institution
    Aeronaut. & Astronaut. Eng. Coll., Air Force Eng. Univ., Xi´an, China
  • fYear
    2014
  • Firstpage
    781
  • Lastpage
    786
  • Abstract
    With regard to the small sample and randomly right censored problem of field data in reliability evaluation of aviation equipment, this paper compares the nonparametric method of reliability evaluation. We design a simulation method to compare the advantages and disadvantages for reliability evaluation under mixed distribution with Monte Carlo method. The method takes double mixed Weibull distribution for an example, comparing four nonparametric evaluation methods through producing field failure data of aviation equipment with features of randomly censored. The simulation result shows the optimal and worse order is successively sorted by Kaplan-Meier method and Mean Rank Order method, then Herd-Johnson method and last Nelson-Aalen method under double mixed Weibull distribution.
  • Keywords
    Monte Carlo methods; aerospace instrumentation; aerospace simulation; reliability; Herd-Johnson method; Kaplan-Meier method; Monte Carlo method; Nelson-Aalen method; aviation equipment reliability evaluation; double mixed Weibull distribution; mean rank order method; mixed distribution context; nonparametric method; Data models; Estimation; Mean square error methods; Reliability engineering; Shape; Weibull distribution; Mixed Distribution Model; Monte Carlo; Nonparametric Evaluation; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6631-8
  • Type

    conf

  • DOI
    10.1109/ICRMS.2014.7107305
  • Filename
    7107305