Design of reliability demonstration testing for repairable systems

Huairui Guo, Haitao Liao, Athanasios Gerokostopoulos, Adamantios Mettas

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

8 Scopus citations

Abstract

Reliability Demonstration Testing (RDT) for non-repairable systems has been successfully implemented in many industries, such as microelectronics, aerospace and healthcare. In designing RDTs, the famous beta-binomial formula is often applied to determine the necessary sample size so that the required reliability metric at a given confidence level can be demonstrated. However, many systems, such as cars and combine harvesters, are repairable systems. For repairable systems, RDT design methods have been developed mainly for Homogeneous Poisson Processes (HPP). This paper provides a new RDT design method applicable for both HPP and Non-Homogeneous Poisson Process (NHPP) cases. The result shows that the proposed method can effectively determine the required testing time and sample size of test units to demonstrate the required Mean Time Between Failures (MTBF). A comparison study is also conducted to illustrate the superior performance of the proposed method over some of the existing methods.

Original languageEnglish (US)
Title of host publication2011 Proceedings - Annual Reliability and Maintainability Symposium, RAMS 2011
DOIs
StatePublished - 2011
Externally publishedYes
EventAnnual Reliability and Maintainability Symposium, RAMS 2011 - Lake Buena Vista, FL, United States
Duration: Jan 24 2011Jan 27 2011

Publication series

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

Other

OtherAnnual Reliability and Maintainability Symposium, RAMS 2011
Country/TerritoryUnited States
CityLake Buena Vista, FL
Period1/24/111/27/11

Keywords

  • Fisher information matrix
  • Reliability demonstration testing
  • repairable systems

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • General Mathematics
  • Computer Science Applications

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