On determining sample size and testing duration of repairable system test

Huairui Guo, Rong Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Reliability demonstration tests for non-repairable systems have been extensively discussed by many researchers. However, very few works have been done for repairable system tests. Demonstration tests for repairable systems can be time consuming and costly. Carefully planning sample size and test duration is very important. This paper develops a theoretical method, based on pivotal quantities and a confidence bound requirement for the reliability metrics of interest, to help test planners to determine the minimal sample sizes and test duration. A case study was given and the developed theoretical results were compared with simulation results. The comparison shows that the proposed method is accurate and efficient.

Original languageEnglish (US)
Title of host publication2008 Proceedings - Annual Reliability and Maintainability Symposium, RAMS 2008
DOIs
StatePublished - Dec 1 2008
Event54th Annual Reliability and Maintainability Symposium, RAMS 2008 - Las Vegas, NV, United States
Duration: Jan 28 2008Jan 31 2008

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
ISSN (Print)0149-144X

Other

Other54th Annual Reliability and Maintainability Symposium, RAMS 2008
CountryUnited States
CityLas Vegas, NV
Period1/28/081/31/08

Keywords

  • Fisher information matrix
  • Maximum likelihood estimation
  • Reliability test plan
  • Repairable system

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Mathematics(all)
  • Computer Science Applications

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  • Cite this

    Guo, H., & Pan, R. (2008). On determining sample size and testing duration of repairable system test. In 2008 Proceedings - Annual Reliability and Maintainability Symposium, RAMS 2008 [4925781] (Proceedings - Annual Reliability and Maintainability Symposium). https://doi.org/10.1109/RAMS.2008.4925781