Results 91 to 100 of about 5,625,691 (189)

Optimal Kernel-Based Dynamic Mode Decomposition

, 2017
The state-of-the-art algorithm known as kernel-based dynamic mode decomposition (K-DMD) provides a sub-optimal solution to the problem of reduced modeling of a dynamical system based on a finite approximation of the Koopman operator.
Héas, Patrick, Herzet, Cédric
core   +4 more sources

Data Reduction Technologies in Prediction of Propeller Noise

Aerospace
High-fidelity computations are often used in predicting the tonal and broadband noise of propellers and rotors associated with Advanced Air Mobility Vehicles (AAMVs). But LES is both CPU and storage intensive.
Samuel Afari, Reda Mankbadi
doaj   +1 more source

Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning.

PLoS ONE, 2019
BACKGROUND:Exhaled aerosols from lungs have unique patterns, and their variation can be correlated to the underlying lung structure and associated abnormities.
Jinxiang Xi, Weizhong Zhao
doaj   +1 more source

Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing

Sensors, 2018
To solve the intractable problems of optimal rank truncation threshold and dominant modes selection strategy of the standard dynamic mode decomposition (DMD), an improved DMD algorithm is introduced in this paper.
Zhang Dang, Yong Lv, Yourong Li, Guoqian Wei   +3 more
doaj   +1 more source

Dynamic mode decomposition based fault diagnosis in three-phase electrical machines

Results in Engineering
Three-phase electrical machines are widely used in various industrial applications, and the mechanical fault in those machines leads to an oscillation in the load torque, which introduces an amplitude and/or phase modulation in the stator current.
Saravanakumar Rajendran, Rhethika Sreejesh, V.S. Kirthika Devi, Debashisha Jena, David Banjerdpongchai   +4 more
doaj   +1 more source

Model Discovery using Dynamic Mode Decomposition [PDF]

openIn this thesis we explored different approaches to video processing, first we had a glance at the RPCA method, one of the highly-competitive methods with respect to the state-of-the-art computer vision procedure for video processing.
MARANGON, TERESA
core  

Analysis of turbulent synthetic jet by dynamic mode decomposition

EPJ Web of Conferences, 2017
The article deals with the analysis of CFD results of the turbulent synthetic jet. The numerical simulation of Large Eddy Simulation (LES) using commercial solver ANSYS CFX has been performed.
Hyhlík Tomáš, Netřebská Hana, Devera Jakub, Kalinay Radomír   +3 more
doaj   +1 more source

Dynamic Mode Decomposition of Backward Facing Step Flow Simulation Data

, 2015
Improved delayed detached eddy (IDDES) simulation results of a backward facing step flow are analyzed using dynamic mode decomposition (DMD). Different flow variables and the time-resolved skin friction coefficient are investigated and compared to a ...
Klaus Hannemann, Karthik V. Mani, Hannemann, Klaus, Mani, Karthik V., Tim Horchler, Horchler, Tim   +5 more
core   +1 more source

Dynamic Mode Decomposition: A New Approach for Computing the DMD Modes and Eigenvalues

Annals of the Academy of Romanian Scientists Series on Mathematics and Its Application, 2022
openaire   +1 more source

Optimal Kernel-Based Dynamic Mode Decomposition

, 2018
The state-of-the-art algorithm known as kernel-based dynamic mode decomposition (K-DMD) provides a sub-optimal solution to the problem of reduced modeling of a dynamical system based on a finite approximation of the Koopman operator.
Cédric Herzet, Patrick Héas
core   +1 more source