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- W4368246927 abstract "The technological advancement in subsea system design for harsh environments presents structural and functional performance complexity. This paper explores the various methodologies for failure assessment of subsea systems considering the unstable operating environment and functional dependencies among sub-components. The various failure influencing factors for harsh offshore operations were examined to establish their level of importance and impact on the failure model prediction for the subsea assets. The systematic study explores the failure methods that integrate the data-driven approaches with the physics of failure models to enhance better failure risk prediction in a dynamic offshore environment. While presenting the state of knowledge and the advances in the failure prediction approaches, the study identified the need to further integrate the data-driven machine learning model with the multi-hazard failure risk aggregation approaches for a holistic safety criteria formulation for harsh subsea operations. This could be further supported by integrating resilient design, digitalization, and IoT for remote arctic subsea operations." @default.
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- W4368246927 date "2023-01-01" @default.
- W4368246927 modified "2023-09-25" @default.
- W4368246927 title "Advances in Failure Prediction of Subsea Components Considering Complex Dependencies" @default.
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- W4368246927 doi "https://doi.org/10.1007/978-3-031-29962-9_6" @default.
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