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Joao Paulo Dias
Joao Paulo Dias
Assistant Professor of Mechanical Engineering
Verified email at engr.ship.edu
Title
Cited by
Cited by
Year
Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault
DS Alves, GB Daniel, HF de Castro, TH Machado, KL Cavalca, O Gecgel, ...
Mechanism and Machine Theory 149, 103835, 2020
482020
Detection of mass imbalance in the rotor of wind turbines using Support Vector Machine
GR Hübner, H Pinheiro, CE De Souza, CM Franchi, LD Da Rosa, JP Dias
Renewable Energy 170, 49-59, 2021
402021
Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data
JP Dias, S Ekwaro-Osire, A Cunha Jr, S Dabetwar, A Nispel, ...
International Journal of Fatigue 127, 246-258, 2019
402019
Gearbox fault diagnostics using deep learning with simulated data
O Gecgel, S Ekwaro-Osire, JP Dias, A Serwadda, FM Alemayehu, ...
2019 IEEE international conference on prognostics and health management …, 2019
322019
Damage classification of composites based on analysis of lamb wave signals using machine learning
S Dabetwar, S Ekwaro-Osire, JP Dias
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021
252021
Fatigue damage diagnostics of composites using data fusion and data augmentation with deep neural networks
S Dabetwar, S Ekwaro-Osire, JP Dias
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2022
232022
Damage classification of composites using machine learning
S Dabetwar, S Ekwaro-Osire, JP Dias
ASME International Mechanical Engineering Congress and Exposition 83501 …, 2019
212019
Machine learning in crack size estimation of a spur gear pair using simulated vibration data
O Gecgel, S Ekwaro-Osire, JP Dias, A Nispel, FM Alemayehu, ...
Proceedings of the 10th International Conference on Rotor Dynamics–IFToMM …, 2019
202019
Damage detection of composite materials using data fusion with deep neural networks
S Dabetwar, S Ekwaro-Osire, JP Dias
Turbo Expo: Power for Land, Sea, and Air 84225, V10BT27A019, 2020
162020
Evaluation of fatigue crack propagation of gears considering uncertainties in loading and material properties
HB Endeshaw, S Ekwaro-Osire, FM Alemayehu, JP Dias
Sustainability 9 (12), 2200, 2017
152017
Simulation-driven deep learning approach for wear diagnostics in hydrodynamic journal bearings
O Gecgel, JP Dias, S Ekwaro-Osire, DS Alves, TH Machado, GB Daniel, ...
Journal of Tribology 143 (8), 084501, 2021
112021
A review of crack propagation modeling using peridynamics
JP Dias, MA Bazani, AT Paschoalini, L Barbanti
Probabilistic prognostics and health management of energy systems, 111-126, 2017
102017
Uncertainty in Communication with a Sketch
S Ekwaro-Osire, R Cruz-Lozano, HB Endeshaw, JP Dias
Journal of Integrated Design and Process Science 20 (4), 43-60, 2016
102016
Dynamics of gas bubble growth in oil-refrigerant mixtures under isothermal depressurization
JP Dias, JR Barbosa Jr, AT Prata
Journal of the Brazilian Society of Mechanical Sciences and Engineering 34 …, 2012
102012
Probabilistic design and uncertainty quantification of the structure of a monopile offshore wind turbine
A Nispel, S Ekwaro-Osire, JP Dias, A Cunha Jr
ASME International Mechanical Engineering Congress and Exposition 83501 …, 2019
92019
Mathematical modeling of the Ester oil-refrigerant R134a mixture two-phase flow with foam formation through a small diameter tube
JP Dias, JL Gasche, AL Seixlack
Journal of the Brazilian Society of Mechanical Sciences and Engineering 33 …, 2011
92011
Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems
S Ekwaro-Osire, FM Alemayehu, J Chapman, O Gecgel, S Dabetwar, ...
ASME International Mechanical Engineering Congress and Exposition 50589 …, 2016
62016
Mass imbalance diagnostics in wind turbines using deep learning with data augmentation
S Dabetwar, S Ekwaro-Osire, JP Dias, GR Hübner, CM Franchi, ...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2023
52023
Uncertainty quantification for fatigue life of offshore wind turbine structure
A Nispel, S Ekwaro-Osire, JP Dias, A Cunha Jr
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021
52021
A parametric probabilistic approach to quantify uncertainties in a non-linear cumulative fatigue damage model considering limited data
JP Dias, S Ekwaro-Osire, A Cunha Jr, FM Alemayehu, S Dabetwar, ...
Twelfth International Conference on Fatigue Damage of Structural Materials …, 2018
52018
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