2012/10/18 by Robertas Alzbutas, Alzbutas, Robertas, Tomas Iešmantas +1
Decision Sciences · Engineering · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Probabilistic and Robust Engineering Design #Reliability and Maintenance Optimization #Statistical Distribution Estimation and Applications #stat.AP
paper · pdf · doi:10.48550/arxiv.1210.5095
Accepted draft for publication in Quality and Reliability Engineering International
arxiv created 2012/10/18 · openalex publication_date 2012/10/18 · arxiv updated 2012/10/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper authors present a general methodology for age dependent reliability analysis of degrading or ageing systems, structures and components.The methodology is based on Bayesian methods and inference, its ability to incorporate prior information and on idea that ageing can be thought as age dependent change of believes about reliability parameters, when change of belief occurs not just due to new failure data or other information which becomes available in time, but also it continuously changes due to flow of time and beliefs evolution. The main objective of this paper is to present the clear way of how Bayesian methods can be applied by practitioners to deal with risk and reliability analysis considering ageing phenomena. The methodology describes step by step failure rate analysis of ageing systems: from the Bayesian model building to its verification and generalization with Bayesian model averaging which, as authors suggest in this paper, could serve as alternative for various goodness of fit assessment tools and as universal tool to cope with various sources of uncertainty.