Analysis of window-censored repair logs and its application to maintenance

Watalu Yamamoto, Lu Jin, Kazuyuki Suzuki

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

When tailor-made systems are introduced into fields, markets, or factories, the replacement parts or subcomponents for maintenance are produced and purchased simultaneously so as to keep the quality and reliability of those parts homogeneous against the parts installed into systems at the beginning. Those parts are then kept in stock at yards and will be kept waiting for their turns. Furthermore, the maintenance records of such systems are often window censored, under which the records are both left and right censored. In this talk, we model such situations as a renewal process with incomplete repairs, in which a failed subcomponent is replaced with an unused-but-not-new subcomponent. The statistical inference of the failure time distribution and the effect of in-stock term are implemented using stochastic EM algorithm, which is needed to solve the maximization problem of the incomplete data likelihood under window censoring. A real case is analyzed using the proposed model and the effect of in-stock-at-yards term on the total lifetime is assessed by assuming Weibull distribution. We also examine the sampling properties of the estimators for Weibull distributions.

Original languageEnglish
Title of host publicationTheory and Practice of Quality and Reliability Engineering in Asia Industry
PublisherSpringer Singapore
Pages291-300
Number of pages10
ISBN (Electronic)9789811032905
ISBN (Print)9789811032882
DOIs
Publication statusPublished - 2017 Jan 1
Externally publishedYes

Keywords

  • EM algorithm
  • Left and right censoring
  • Recurrent events
  • Weibull distribution
  • Window censoring

ASJC Scopus subject areas

  • General Engineering
  • Economics, Econometrics and Finance(all)
  • General Business,Management and Accounting

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