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DOE OSTI · 2448479

Physics-informed Data-driven Degradation and Prognostic For Hydropower System

Huang, Jianqiao·Shafiul Alam, S M·Zhao, Shijia·Qiu, Feng·Larson, Spencer·Sun, Mucun
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Abstract

The hydropower system is a cyber-physical system, and the industry is experiencing high operation and maintenance (O&M) costs along with increasing unplanned outages, primarily due to aging equipment and new asset loading patterns. Current (O&M) practices in asset management are predominantly reactive rather than predictive and systematic. To address these challenges, a proposed physics-informed data-driven degradation model aims to simulate the health of components in various environments. Its purpose is to accurately characterize wear and fatigue in the pilot components of hydropower systems. Additionally, the model provides informed confidence in prognostic predictions concerning asset degradation and remaining life.

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13 HYDRO ENERGYhydro power, degradation, diagnostic, prognostic, bearings

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Huang, Jianqiao, Shafiul Alam, S M, Zhao, Shijia, Qiu, Feng, Larson, Spencer, Sun, Mucun. 2023-10-18. Physics-informed Data-driven Degradation and Prognostic For Hydropower System. https://www.osti.gov/biblio/2448479

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