Stabilization of Generalized Empirical Interpolation Method (GEIM) in presence of noise: A novel approach based on Tikhonov regularization
Abstract The Empirical Interpolation Method (EIM), and its generalized version (GEIM), are
non-intrusive, reduced-basis model order reduction methods hereby adopted and modified …
non-intrusive, reduced-basis model order reduction methods hereby adopted and modified …
[HTML][HTML] Multi-physics model bias correction with data-driven reduced order techniques: Application to nuclear case studies
S Riva, C Introini, A Cammi - Applied Mathematical Modelling, 2024 - Elsevier
Due to the multiple physics involved and their mutual and complex interactions, nuclear
engineers and researchers are constantly working on developing highly accurate Multi …
engineers and researchers are constantly working on developing highly accurate Multi …
[HTML][HTML] Hybrid Data Assimilation methods, Part II: Application to the DYNASTY experimental facility
Abstract Hybrid Data Assimilation (HDA) methods aim at combining the advantages of
mathematical models and experimental observations by integrating Model Order Reduction …
mathematical models and experimental observations by integrating Model Order Reduction …
[HTML][HTML] Hybrid data assimilation methods, Part I: Numerical comparison between GEIM and PBDW
Abstract Hybrid Data Assimilation (HDA) methods are a class of numerical methods that aim
at integrating Model Order Reduction (MOR) techniques into a Data Assimilation (DA) …
at integrating Model Order Reduction (MOR) techniques into a Data Assimilation (DA) …
Reactor field reconstruction from sparse and movable sensors using Voronoi tessellation-assisted convolutional neural networks
The aging of operational reactors leads to increased mechanical vibrations in the reactor
interior. The vibration of the in-core sensors near their nominal locations is a new problem …
interior. The vibration of the in-core sensors near their nominal locations is a new problem …
[PDF][PDF] A Noise and Vibration Tolerant ResNet for Fiel dReconstruction with Sparse Sensors
The aging of nuclear reactors presents a substantial challenge within the field of nuclear
energy. Consequently, there is a critical demand for field reconstruction techniques capable …
energy. Consequently, there is a critical demand for field reconstruction techniques capable …
在线堆芯监测系统的研究现状与建议.
厉井钢， 李文淮， 张香菊， 王军令… - … Energy Science & …, 2024 - search.ebscohost.com
在线堆芯监测系统(CMS) 是核电站保障安全运行的重要系统, 其主要功能是实时监测堆芯内部的
关键参数变化, 以便及时发现潜在的异常情况并提供后续操作建议. 本文对在线CMS …
关键参数变化, 以便及时发现潜在的异常情况并提供后续操作建议. 本文对在线CMS …
Neural-Network-Augmented Empirical Interpolation Method for Field Reconstruction with Noise and Vibration Tolerance
Field reconstruction methods based on machine learning often face challenges when
handling unstructured data and designing complex model structures. On the other hand …
handling unstructured data and designing complex model structures. On the other hand …