Results 21 to 30 of about 26,791,362 (287)

IGBT Temperature Field Monitoring Based on Reduced-order Model

CES Transactions on Electrical Machines and Systems, 2023
With the rapid development of the world economy, IGBT has been widely used in motor drive and electric energy conversion. In order to timely detect the fatigue damage of IGBT, it is necessary to monitor the junction temperature of IGBT.
Ziyu Zhou, Yi Sui, Xu Zhang, Chengde Tong, Ping Zheng, Mingjun Zhu   +5 more
doaj   +1 more source

An Evolve-Then-Correct Reduced Order Model for Hidden Fluid Dynamics

Mathematics, 2020
In this paper, we put forth an evolve-then-correct reduced order modeling approach that combines intrusive and nonintrusive models to take hidden physical processes into account.
Suraj Pawar, Shady E. Ahmed, Omer San, Adil Rasheed   +3 more
doaj   +1 more source

A reduced order model for nonlinear vibroacoustic problems

MATEC Web of Conferences, 2012
This work is related to geometrical nonlinearities applied to thin plates coupled with fluid-filled domain. Model reduction is performed to reduce the computation time.
Ouisse Morvan, Bouhaddi Noureddine, Gerges Youssef, Guedri Mohamed, Sadoulet-Reboul Emeline   +4 more
doaj   +1 more source

Reduced order models for Lagrangian hydrodynamics

Computer Methods in Applied Mechanics and Engineering, 2022
42 pages, 7 figure, 8 ...
Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh, Youngsoo Choi   +3 more
openaire   +2 more sources

Pressure Stabilization Strategies for a LES Filtering Reduced Order Model

Fluids, 2021
We present a stabilized POD–Galerkin reduced order method (ROM) for a Leray model. For the implementation of the model, we combine a two-step algorithm called Evolve-Filter (EF) with a computationally efficient finite volume method.
Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza   +2 more
doaj   +1 more source

Reduced-Order Modeling of Gust Responses [PDF]

Journal of Aircraft, 2017
This paper describes two approaches to the construction of reduced-order models from computational fluid dynamics to predict the gust response of airfoils and wings.
Wales, Christopher, Gaitonde, Ann, Jones, Dorian   +2 more
openaire   +2 more sources

Verifiability of the Data-Driven Variational Multiscale Reduced Order Model

, 2022
International audienceIn this paper, we focus on the mathematical foundations of reduced order model (ROM) closures. First, we extend the verifiability concept from large eddy simulation to the ROM setting.
Wang, Zhu, Koc, Birgul, Rozza, Gianluigi, Mou, Changhong, Liu, Honghu, Iliescu, Traian   +5 more
core   +1 more source

Induction motor speed control using reduced-order model

Automatika, 2018
Induction machines have a highly nonlinear model with only partial state information. The unavailability of all states and the presence of unknown disturbances make controller design and proving closed-loop stability challenging tasks.
A. Sabir, S. Ibrir
doaj   +1 more source

Fast prediction of the performance of the centrifugal pump based on reduced-order model

Energy Reports, 2023
In the present paper, the prediction of the performance of a centrifugal pump is investigated based on proper orthogonal decomposition (POD) reduced-order model (ROM).
Zhiguo Wei, Yingjie Tang, Lixia Chen, Hongna Zhang, Fengchen Li   +4 more
doaj   +1 more source

Convolutional Autoencoders for Reduced-Order Modeling

CoRR, 2021
In the construction of reduced-order models for dynamical systems, linear projection methods, such as proper orthogonal decompositions, are commonly employed. However, for many dynamical systems, the lower dimensional representation of the state space can most accurately be described by a \textit{nonlinear} manifold.
Sreeram Venkat, Ralph C. Smith, Carl T. Kelley   +2 more
openaire   +2 more sources