Results 151 to 160 of about 5,625,691 (189)

An integrative framework for AI-supported coastal hydrodynamics monitoring and analysis. [PDF]

Sci Rep
Wang RQ, Pacheco-Crosetti G, Calderon CV, Cohen J, Smyth E.   +4 more
europepmc   +1 more source

Absorption Characteristics of a Passive Damper-Augmented Timoshenko Beam Using a Wave-Decomposition Approach. [PDF]

Sensors (Basel)
Gupta S, Malladi VVNS.
europepmc   +1 more source

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Meteorological Variables Forecast Using Dynamic Mode Decomposition (DMD)

Lecture Notes in Electrical Engineering
Paulo Lopes dos Santos
exaly   +2 more sources

Study on Flow Characteristics of a Rotating Centrifugal Impeller Under Gassy Flow Based on Dynamic Mode Decomposition (DMD)

SPE Gulf Coast Section - Electric Submersible Pumps Symposium, 2023
Abstract Electric submersible pumps (ESPs) are widely used in both onshore and offshore oil fields. However, the impeller of an ESP has strong fluctuation and obvious disturbance structure under the condition of gas-liquid two-phase flow, which leads to significant performance degradation.
Jianjun Zhu, Haoyu Wang, Nan Li, Guangqiao Cao, Yongxue Zhang, Yuanyuan Li, Haiwen Zhu   +6 more
openaire   +1 more source

Physics-Informed Dynamic Mode Decomposition (PI-DMD)

2022
In this work, we demonstrate how physical principles – such as symmetries, invariances, and conservation laws – can be integrated into the dynamic mode decomposition (DMD). DMD is a widely-used data analysis technique that extracts low-rank modal structures and dynamics from high-dimensional measurements.
openaire   +1 more source

A Comparative Study of Dynamic Mode Decomposition (DMD) and Dynamical Component Analysis (DyCA)

2020
Two dimensionality reduction methods, dynamic mode decomposition (DMD) and dynamical component analysis (DyCA), are briefly introduced and compared by application on epileptic EEG data. DMD approximates a linear operator whose eigendecomposition describes the underlying system in frequency space.
Moritz Kern, Christian Uhl, Monika Warmuth   +2 more
openaire   +1 more source

Data-Driven Modeling of the Flow Field Between Two PWR Surrogate Bundles Under Seismic Conditions Using Bagging-Optimized Dynamic Mode Decomposition (BOP-DMD)

20th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-20), 2023
The safe operation of nuclear reactors under severe operating conditions is a mandatory requirement for any plant design. One of the most challenging conditions is represented by earthquakes: however, works of literature discussing the response of reactor core bundles and their interaction with the moderator under seismic conditions are limited. Direct
Haidy Ibrahim, Carolina Introini, Antonio Cammi, Roberto Capanna, Philippe Bardet, Guillaume Ricciardi   +5 more
openaire   +1 more source

Flow Structures Around a High-Speed Train Extracted Using Proper Orthogonal Decomposition and Dynamic Mode Decomposition

Computers and Fluids, 2012
In this paper, Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD) are used to extract the most dominant flow structures of a simulated flow in the wake of a high-speed train model, the Aerodynamic Train Model (ATM).
Henningson, Dan S,, Efraimsson, Gunilla,, Muld, Tomas W.,   +2 more
exaly   +2 more sources

A Novel Machine Learning-Enhanced Dynamic Mode Decomposition (MLE-DMD) Method for Evaporative Cooling System Offshore Wind Turbines Fault Detection

Expert Systems With Applications
Chenyu Xie
exaly   +2 more sources