Using degradation models to assess pipeline life

Qinglong Tian, Shiyao Liu and William Q. Meeker

Applied Stochastic Models in Business and Industry, 2019, vol. 35, issue 6, 1411-1430

Abstract: Longitudinal inspections of thickness at particular locations along a pipeline provide useful information to assess the remaining life of the pipeline. In applications with different mechanisms of corrosion processes, we have observed various types of general degradation paths. We present two applications of fitting a degradation model to describe the corrosion initiation and growth behavior in a pipeline. We use a Bayesian approach for parameter estimation for the degradation model. The failure‐time and remaining lifetime distributions are derived from the degradation model, and we compute Bayesian estimates and credible intervals of the failure‐time and remaining lifetime distributions for both individual segments and for the entire pipeline circuit.

Date: 2019
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https://doi.org/10.1002/asmb.2489

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:35:y:2019:i:6:p:1411-1430

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