A Multistage Physics-Informed Neural Network for Fault Detection in Regulating Valves of Nuclear Power Plants
Chenyang Lai,
Ibrahim Ahmed,
Enrico Zio
et al.
Abstract:In Nuclear Power Plants (NPPs), online condition monitoring and the fault detection of structures, systems and components (SSCs) can aid in guaranteeing safe operation. The use of data-driven methods for these tasks is limited by the requirement of physically consistent outcomes, particularly in safety-critical systems. Considering the importance of regulating valves (e.g., safety relief valves and main steam isolation valves), this work proposes a multistage Physics-Informed Neural Network (PINN) for fault de… Show more
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