Copula Model Selection for Vehicle Component Failures Based on Warranty Claims

Clicks: 186
ID: 109973
2020
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Abstract
In the automotive industry, it is important to know whether the failure of some car parts may be related to the failure of others. This project studies warranty claims for five engine components obtained from a major car manufacturer with the purpose of modeling the joint distributions of the failure of two parts. The one-dimensional distributions of components are combined to construct a bivariate copula model for the joint distribution that makes it possible to estimate the probabilities of two components failing before a given time. Ultimately, the influence of the failure of one part on the operation of another related part can be described, predicted, and addressed. The performance of several families of one-parameter Archimedean copula models (Clayton, Gumbel–Hougaard, survival copulas) is analyzed, and Bayesian model selection is performed. Both right censoring and conditional approaches are considered with the emphasis on conditioning to the warranty period.
Reference Key
wifvat2020riskscopula Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kathryn Wifvat;John Kumerow;Arkady Shemyakin;Wifvat, Kathryn;Kumerow, John;Shemyakin, Arkady;
Journal risks
Year 2020
DOI
10.3390/risks8020056
URL
https://www.mdpi.com/2227-9091/8/2/56/htm
Keywords
warranty claims related failures copula models bayesian model selection empirical bayes methods

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