@inproceedings{1c7f1a5d1d614e34af80edcb53fc4f75,
title = "Proactive maintenance strategy for submarine pipelines based on stochastic modelling of deterioration due to corrosion",
abstract = "This study presents a stochastic model for corrosion deterioration in submarine pipelines, a major threat to structural integrity and operational efficiency. Using Bayesian updating, the model dynamically adjusts its parameters with new inspection data, improving predictions of corrosion growth and optimizing maintenance intervals to minimize failures. A numerical example demonstrates the model's effectiveness in forecasting corrosion progression and enhancing maintenance decisions based on reliability and failure probability using the gamma process.",
keywords = "Bayesian updating, Corrosion management, Cost optimization, Gamma process, Proactive maintenance, Stochastic modeling, Submarine pipelines",
author = "Hao Zhang and Zhang, {Chizhi Chris} and Jian Jiang and Xinan Chen and Jing Dong and Dongfang Liang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 6th International Conference on System Reliability and Safety Engineering, SRSE 2024 ; Conference date: 11-10-2024 Through 14-10-2024",
year = "2024",
doi = "10.1109/SRSE63568.2024.10772523",
language = "English",
series = "2024 6th International Conference on System Reliability and Safety Engineering, SRSE 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "87--91",
booktitle = "2024 6th International Conference on System Reliability and Safety Engineering, SRSE 2024",
address = "United States",
}