This paper undertakes a reliability study using a Bayesian survival analysis framework to explore the impact of a locomotive wheel's installed position on its service lifetime and to predict its reliability characteristics. The Bayesian Exponential Regression Model, Bayesian Weibull Regression Model and Bayesian Log-normal Regression Model are used to analyze the lifetime of locomotive wheels using degradation data and taking into account the position of the wheel. This position is described by three different discrete covariates: the bogie, the axle and the side of the locomotive where the wheel is mounted. The goal is to determine reliability, failure distribution and optimal maintenance strategies for the wheel. The results show that: (i) under specified assumptions and a given topography, the position of the locomotive wheel could influence its reliability and lifetime; (ii) the Bayesian Log-normal Regression Model is a useful tool.
Reliability Analysis for Degradation of Locomotive Wheels using Parametric Bayesian Approach
Quality and Reliability Engineering International ; 30 , 5 ; 657-667
2014
11 Seiten
Aufsatz (Zeitschrift)
Englisch
Bayesian semi-parametric analysis for locomotive wheel degradation using gamma frailties
SAGE Publications | 2015
|Bayesian semi-parametric analysis for locomotive wheel degradation using gamma frailties
Online Contents | 2015
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