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Felipe Viana

State University System of Florida

29H-index
179Paper Count
4.0KCitation Count
Published Papers 24
Publication Date
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Steam generator efficiency optimization under uncertainty through multi-fidelity modeling
errnature computational science
IF3.7
err2024-07-01
err0
PREAI
errMarques, Augusto Delavald; Vieira, Lara Werncke; Schneider, Paulo Smith; Viana, Felipe A. C.
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An Accelerated Life Testing Data set for Lithium-Ion Batteries with Constant and Variable Loading Conditions
errINTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT
IF1
err2023-12-21
err0
errOAAI
errFricke, Kajetan; Nascimento, Renato G.; Corbetta, Matteo; Kulkarni, Chetan S.; Viana, Felipe A. C.
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Physics-informed digital twin for wind turbine main bearing fatigue: Quantifying uncertainty in grease degradation
errAPPLIED SOFT COMPUTING
IF6.6
err2023-12-01
err3
PREAI
errYucesan, Yigit A.; Viana, Felipe A. C.
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errSave
A framework for Li-ion battery prognosis based on hybrid Bayesian physics-informed neural networks
errSCIENTIFIC REPORTS
IF3.9
err2023-08-24
err7
errOAAI
errNascimento, Renato G.; Viana, Felipe A. C.; Corbetta, Matteo; Kulkarni, Chetan S.
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errSave
Generative adversarial networks for extrapolation of corrosion in automobile images
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2023-03-01
err2
PREAI
errVon Zuben, Andre; Viana, Felipe A. C.
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Operational guide to stabilize, standardize and increase power plant efficiency
errAPPLIED ENERGY
IF11
err2022-06-01
err3
errOAAI
errVieira, Lara Werncke; Marques, Augusto Delavald; Duarte, Jessica; Zanardo, Rafael Petri; Schneider, Paulo Smith; Chegury Viana, Felipe Antonio; da Silva Neto, Antonio Jose; Centeno, Felipe Roman; Hunt, Julian David; Mairesse Siluk, Julio Cezar
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Ensemble of hybrid neural networks to compensate for epistemic uncertainties: a case study in system prognosis
errSOFT COMPUTING
IF2.5
err2022-05-07
err3
errOAAI
errDourado, Arinan; Viana, Felipe
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errSave
A hybrid physics-informed neural network for main bearing fatigue prognosis under grease quality variation
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2022-05-01
err52
PREAI
errYucesan, Yigit A.; Viana, Felipe A. C.
errShare
errSave
Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis
errJOURNAL OF POWER SOURCES
IF7.9
err2021-11-01
err76
errOAAI
errNascimento, Renato G.; Corbetta, Matteo; Kulkarni, Chetan S.; Viana, Felipe A. C.
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errSave
Special issue dedicated to Former Editor-in-Chief Raphael T. Haftka
errSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
IF4
err2021-10-30
err0
errOAAI
errKim, Nam H.; Queipo, Nestor V.; Viana, Felipe A. C.; Ramu, Palaniappan; Acar, Erdem; Rodrigues, Helder C.; Cheng, Gengdong; Zhou, Ming
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errSave
A survey of modeling for prognosis and health management of industrial equipment
errADVANCED ENGINEERING INFORMATICS
IF9.9
err2021-10-01
err50
PREAI
errYucesan, Yigit A.; Dourado, Arinan; Viana, Felipe A. C.
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errSave
Surrogate modeling: tricks that endured the test of time and some recent developments
errSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
IF4
err2021-07-14
err45
errOAAI
errViana, Felipe A. C.; Gogu, Christian; Goel, Tushar
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errSave
Adjusting a torsional vibration damper model with physics-informed neural networks
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2021-06-01
err26
PREAI
errYucesan, Yigit A.; Viana, Felipe A. C.; Manin, Lionel; Mahfoud, Jarir
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errSave
Estimating model inadequacy in ordinary differential equations with physics-informed neural networks
errCOMPUTERS & STRUCTURES
IF4.8
err2021-03-01
err55
PREAI
errViana, Felipe A. C.; Nascimento, Renato G.; Dourado, Arinan; Yucesan, Yigit A.
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errSave
Methodology for ranking controllable parameters to enhance operation of a steam generator with a combined Artificial Neural Network and Design of Experiments approach
errENERGY AND AI
IF9.6
err2021-03-01
err7
errOAAI
errVieira, Lara Werncke; Marques, Augusto Delavald; Schneider, Paulo Smith; Neto, Antonio Jose da Silva; Viana, Felipe Antonio Chegury; Abdel-jawad, Madhat; Hunt, Julian David; Siluk, Julio Cezar Mairesse
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errSave
A Survey of Bayesian Calibration and Physics-informed Neural Networks in Scientific Modeling
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2021-02-05
err31
PREAI
errViana, Felipe A. C.; Subramaniyan, Arun K.
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errSave
Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection
errCOMPUTERS IN INDUSTRY
IF9.1
err2021-02-01
err58
PREAI
errYucesan, Yigit A.; Viana, Felipe A. C.
errShare
errSave
Early life failures and services of industrial asset fleets
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2021-01-01
err6
PREAI
errDourado, Arinan; Viana, Felipe A. C.
errShare
errSave
Lightweight design of vehicle parameters under crashworthiness using conservative surrogates
errCOMPUTERS IN INDUSTRY
IF9.1
err2013-04-01
err38
PREAI
errZhu, Ping; Pan, Feng; Chen, Wei; Viana, Felipe A. C.
errShare
errSave
Enabling high-order integration of fatigue crack growth with surrogate modeling
errINTERNATIONAL JOURNAL OF FATIGUE
IF6.8
err2012-10-01
err22
PREAI
errPais, Matthew J.; Viana, Felipe A. C.; Kim, Nam H.
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errSave

Research Directions

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Co-authors
Cooperation Journals
R
Raphael T. Haftka
H-index: 83 · Papers: 864
W
Wei Chen
H-index: 60 · Papers: 444
L
Layne T. Watson
H-index: 58 · Papers: 563
程
程耿东 (Gengdong Cheng)
H-index: 47 · Papers: 234
朱萍 cover
朱萍 (Ping Zhu)
H-index: 43 · Papers: 296
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