Combining fatigue analysis information into reliability analysis using Bayesian hierarchical modelling method

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

Abstract

A novel Bayesian Hierarchical Modelling framework combining fatigue analysis and reliability analysis is proposed and applied to predict time-to-failure distribution for a small wind turbine. Machine frame of the small wind turbine is studied in this paper. The result is a comparison of the quantified reliability predictions between the original and modified machine frame designs of the small wind turbine.

Original languageEnglish
Title of host publication2017 Annual Reliability and Maintainability Symposium, RAMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509052844
DOIs
Publication statusPublished - 30 Mar 2017
Event2017 Annual Reliability and Maintainability Symposium, RAMS 2017 - Orlando, United States
Duration: 23 Jan 201726 Jan 2017

Publication series

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

Conference

Conference2017 Annual Reliability and Maintainability Symposium, RAMS 2017
Country/TerritoryUnited States
CityOrlando
Period23/01/1726/01/17

Keywords

  • Bayesian Hierarchical Modelling
  • Fatigue Analysis
  • Informative Prior
  • Reliability Analysis

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