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.
Available at: http://works.bepress.com/wqmeeker/173/
This is the pre-peer reviewed version of the following article: Tian, Qinglong, Shiyao Liu, and William Q. Meeker. "Using degradation models to assess pipeline life." Applied Stochastic Models in Business and Industry 35, no. 6 (2019): 1411-1430, which has been published in final form at doi:10.1002/asmb.2489. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.