Machine learning-aided risk-based inspection strategy for hydrogen technologies

Author:

Campari Alessandro,Vianello Chiara,Ustolin Federico,Alvaro Antonio,Paltrinieri Nicola

Funder

Research Council of Norway

Publisher

Elsevier BV

Reference77 articles.

1. Risk-based and predictive maintenance planning of engineering infrastructure: Existing quantitative techniques and future directions;Abbassi;Process Saf. Environ. Prot.,2022

2. A risk-based approach to determination of optimal inspection intervals for buried oil pipelines;Abubakirov;Process Saf. Environ. Prot.,2020

3. Alvaro, A., Brocks Hagen, A., Lervåg, M., Nyhus, B., Olden, V., 2021. Materials testing and characterization of four X60-X65 pipeline steels.

4. Hydrogen enhanced fatigue crack growth rates in a ferritic Fe-3 wt%Si alloy and a X70 pipeline steel;Alvaro;Eng. Fract. Mech.,2019

5. American Petroleum Institute, 2024. API RP 574 - Inspection Practices for Piping System Components.

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