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Found 5 papers, 0 papers with code
Advanced Transient Diagnostic with Ensemble Digital Twin Modeling
The use of machine learning (ML) model as digital-twins for reduced-order-modeling (ROM) in lieu of system codes has grown traction over the past few years.
Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System
The Nearly Autonomous Management and Control System (NAMAC) is a comprehensive control system that assists plant operations by furnishing control recommendations to operators in a broad class of situations.
Predictive Capability Maturity Quantification using Bayesian Network
However, in validation frameworks CSAU: Code Scaling, Applicability, and Uncertainty (NUREG/CR-5249) and EMDAP: Evaluation Model Development and Assessment Process (RG 1. 203), such a decision-making process is largely implicit and obscure.
Development and Assessment of a Nearly Autonomous Management and Control System for Advanced Reactors
This paper develops a Nearly Autonomous Management and Control (NAMAC) system for advanced reactors.
Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation
Current system thermal-hydraulic codes have limited credibility in simulating real plant conditions, especially when the geometry and boundary conditions are extrapolated beyond the range of test facilities.
