System availability analysis with two failure modes of random failure and wear-out failure

Kayoko Takamori, Ippei Nakase, Yasuhiko Takemoto, Ikuo Arizono

Research output: Contribution to journalArticle

Abstract

Recently, Cao et al. considered the mean availability of a system that has multiple failure modes. Thus led to the creation of a formula for the mean availability of systems with multiple failure modes (i.e., random and wear-out failure modes). The formula of the mean availability derived by Cao et al. requires an exact distribution function of failure-time distribution that wear-out failures follow. However, there are often cases where information such as average and standard deviation are only known, and the exact distribution function isn't specified. In this article, under limited information such as average and standard deviation about wear-out failure mode, we address a procedure for evaluating the mean availability of a system that has random failure and wear-out failure modes.

Original languageEnglish
Pages (from-to)101-108
Number of pages8
JournalJournal of Japan Industrial Management Association
Volume56
Issue number2
Publication statusPublished - 2005
Externally publishedYes

Fingerprint

Failure Mode
Failure modes
Availability
Wear of materials
Exact Distribution
Standard deviation
Distribution functions
Distribution Function
Failure Time

Keywords

  • Failure-time distribution
  • Mean availability
  • Mixing Erlang distribution
  • Multiple failure modes

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Engineering (miscellaneous)

Cite this

System availability analysis with two failure modes of random failure and wear-out failure. / Takamori, Kayoko; Nakase, Ippei; Takemoto, Yasuhiko; Arizono, Ikuo.

In: Journal of Japan Industrial Management Association, Vol. 56, No. 2, 2005, p. 101-108.

Research output: Contribution to journalArticle

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