Bayesian network for reliability prediction in functional design stage

Petek Yontay, Luis Mejia Sanchez, Rong Pan

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

6 Scopus citations

Abstract

Due to the lack of reliability data at a product's very early design stage, the reliability prediction in this phase is often problematic. In order to tackle this problem, one needs to utilize auxiliary information such as the reliability information from similar products and domain expertise. In this article, we propose a Bayesian network approach to incorporate data from functional analysis and parent products. We apply our method on a case study to demonstrate our proposed method. In the case study, we identify the functions with low reliability and their impact on other functions in the network, thus design changes can be suggested for system reliability improvement.

Original languageEnglish (US)
Title of host publicationProceedings - Annual Reliability and Maintainability Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015-May
ISBN (Print)9781479967025
DOIs
StatePublished - May 8 2015
Event61st Annual Reliability and Maintainability Symposium, RAMS 2015 - Palm Harbor, United States
Duration: Jan 26 2015Jan 29 2015

Other

Other61st Annual Reliability and Maintainability Symposium, RAMS 2015
CountryUnited States
CityPalm Harbor
Period1/26/151/29/15

Keywords

  • Bayesian network
  • conceptual design
  • early reliability assessment
  • functional analysis

ASJC Scopus subject areas

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

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