Search Results | ASME Digital Collection

1-15 of 15

Sort by

Sort Order Select

Journal Articles

Mass Imbalance Diagnostics in Wind Turbines Using Deep Learning With Data Augmentation

Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias, Guilherme R. Hübner, Claiton M. Franchi, Humberto Pinheiro

ASME J. Risk Uncertainty Part B. March 2023, 9(1): 011201.

Paper No: RISK-21-1069

DOI: https://doi.org/10.1115/1.4054420

Published Online: June 2, 2022

View Article

Topics: Artificial neural networks, Data fusion, Rotors, Sensitivity analysis, Wind turbines, Time series, Wind velocity, Algorithms

Journal Articles

Diagnostic of Injury Risk in the Anterior Cruciate Ligament Based on Shape Context Description of the Intercondylar Notch Curvature

João Paulo Dias, Ariful Bhuiyan, Nabila Shamim

ASME J of Medical Diagnostics. May 2022, 5(2): 021001.

Paper No: JESMDT-21-1027

DOI: https://doi.org/10.1115/1.4053063

Published Online: February 17, 2022

View Article

Topics: Anterior cruciate ligament, Knee, Risk, Shapes, Wounds, Probability

Journal Articles

Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks

Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias

ASME J Nondestructive Evaluation. May 2022, 5(2): 021004.

Paper No: NDE-21-1014

DOI: https://doi.org/10.1115/1.4051947

Published Online: August 23, 2021

View Article

Topics: Damage, Data fusion, Artificial neural networks, Composite materials

Journal Articles

Uncertainty Quantification for Fatigue Life of Offshore Wind Turbine Structure

Abraham Nispel, Stephen Ekwaro-Osire, João Paulo Dias, Americo Cunha, Jr.

ASME J. Risk Uncertainty Part B. December 2021, 7(4): 040901.

Paper No: RISK-20-1099

DOI: https://doi.org/10.1115/1.4051162

Published Online: July 12, 2021

View Article

Topics: Fatigue life, Offshore wind turbines, Reliability, Uncertainty, Uncertainty quantification, Modeling, Sensitivity analysis, Fatigue, Probability, Physics

Journal Articles

Damage Classification of Composites Based on Analysis of Lamb Wave Signals Using Machine Learning

Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias

ASME J. Risk Uncertainty Part B. March 2021, 7(1): 011002.

Paper No: RISK-20-1026

DOI: https://doi.org/10.1115/1.4048867

Published Online: January 22, 2021

View Article

Topics: Actuators, Damage, Sensors, Signals, Composite materials, Chaos, Machine learning, Cycles

Proceedings Papers

Uncertainty Quantification of Mass and Aerodynamic Rotor Imbalance for Offshore Wind Turbines

Nicholas J. Ward, Stephen Ekwaro-Osire, João Paulo Dias

Proc. ASME. GT2020, Volume 12: Wind Energy, V012T42A015, September 21–25, 2020

Paper No: GT2020-15792

DOI: https://doi.org/10.1115/GT2020-15792

View Paper

Topics: Offshore wind turbines, Rotors, Uncertainty quantification

Proceedings Papers

Damage Detection of Composite Materials Using Data Fusion With Deep Neural Networks

Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT27A019, September 21–25, 2020

Paper No: GT2020-15097

DOI: https://doi.org/10.1115/GT2020-15097

View Paper

Topics: Artificial neural networks, Composite materials, Damage, Data fusion

Journal Articles

Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings

Ozhan Gecgel, João Paulo Dias, Stephen Ekwaro-Osire, Diogo Stuani Alves, Tiago Henrique Machado, Gregory Bregion Daniel, Helio Fiori de Castro, Katia Lucchesi Cavalca

J. Tribol. August 2021, 143(8): 084501.

Paper No: TRIB-20-1168

DOI: https://doi.org/10.1115/1.4049067

Published Online: November 20, 2020

View Article

Topics: Bearings, Journal bearings, Wear, Algorithms, Signals

Journal Articles

Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics

Godlove Wanki, Stephen Ekwaro-Osire, João Paulo Dias, Americo Cunha, Jr.

J. Verif. Valid. Uncert. September 2020, 5(3): 031005.

Paper No: VVUQ-19-1030

DOI: https://doi.org/10.1115/1.4048749

Published Online: October 29, 2020

View Article

Topics: Displacement, Modeling, Porosity, Stiffness, Uncertainty, Uncertainty quantification, Young's modulus, Statistical distributions, Risk, Design

Proceedings Papers

Uncertainty Quantification of Wind Turbine Wakes Under Random Wind Conditions

Tássia Penha Pereira, Stephen Ekwaro-Osire, João Paulo Dias, Nicholas J. Ward, Americo Cunha, Jr.

Proc. ASME. IMECE2019, Volume 13: Safety Engineering, Risk, and Reliability Analysis, V013T13A022, November 11–14, 2019

Paper No: IMECE2019-11872

DOI: https://doi.org/10.1115/IMECE2019-11872

View Paper

Topics: Reliability, Uncertainty quantification, Wakes, Wind, Wind energy, Wind turbines

Proceedings Papers

Damage Classification of Composites Using Machine Learning

Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias

Proc. ASME. IMECE2019, Volume 13: Safety Engineering, Risk, and Reliability Analysis, V013T13A017, November 11–14, 2019

Paper No: IMECE2019-11851

DOI: https://doi.org/10.1115/IMECE2019-11851

View Paper

Topics: Composite materials, Damage, Machine learning

Proceedings Papers

Probabilistic Design and Uncertainty Quantification of the Structure of a Monopile Offshore Wind Turbine

Abraham Nispel, Stephen Ekwaro-Osire, João Paulo Dias, Americo Cunha, Jr.

Proc. ASME. IMECE2019, Volume 13: Safety Engineering, Risk, and Reliability Analysis, V013T13A021, November 11–14, 2019

Paper No: IMECE2019-11862

DOI: https://doi.org/10.1115/IMECE2019-11862

View Paper

Topics: Design, Offshore wind turbines, Reliability, Uncertainty quantification

Proceedings Papers

Risk-Based Analysis of Femoral Stem Considering Uncertainty in its Design Parameters

Godlove Wanki, Stephen Ekwaro-Osire, João Paulo Dias, Americo Cunha, Jr.

Proc. ASME. DMD2019, 2019 Design of Medical Devices Conference, V001T07A006, April 15–18, 2019

Paper No: DMD2019-3319

DOI: https://doi.org/10.1115/DMD2019-3319

View Paper

Topics: Design, Risk, Uncertainty, Stiffness, Failure, Reliability, Surgery, Arthroplasty, Finite element model, Hip joint prostheses

Proceedings Papers

A Probabilistic Model-Based Prognostics Using Meshfree Modeling: A Case Study on Fatigue Life of a Cantilever Beam

Haileyesus B. Endeshaw, Fisseha M. Alemayehu, Stephen Ekwaro-Osire, João Paulo Dias

Proc. ASME. IMECE2016, Volume 4B: Dynamics, Vibration, and Control, V04BT05A047, November 11–17, 2016

Paper No: IMECE2016-67936

DOI: https://doi.org/10.1115/IMECE2016-67936

View Paper

Topics: Cantilever beams, Fatigue life, Modeling, Uncertainty, Reliability, Fatigue, Monte Carlo methods, Decision making, Density, Interpolation

Proceedings Papers

Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems

Stephen Ekwaro-Osire, Fisseha M. Alemayehu, Jamie Chapman, Ozhan Gecgel, Shweta Dabetwar, João Paulo Dias, Haileyesus B. Endeshaw

Proc. ASME. IMECE2016, Volume 6A: Energy, V06AT08A032, November 11–17, 2016

Paper No: IMECE2016-67942

DOI: https://doi.org/10.1115/IMECE2016-67942

View Paper

Topics: Wave energy, Reliability, Uncertainty, Manufacturing, Probability, Sensitivity analysis, Accounting, Air flow, Computer software, Failure

Journal citation

NARROW

Mass Imbalance Diagnostics in Wind Turbines Using Deep Learning With Data Augmentation

Diagnostic of Injury Risk in the Anterior Cruciate Ligament Based on Shape Context Description of the Intercondylar Notch Curvature

Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks

Uncertainty Quantification for Fatigue Life of Offshore Wind Turbine Structure

Damage Classification of Composites Based on Analysis of Lamb Wave Signals Using Machine Learning

Uncertainty Quantification of Mass and Aerodynamic Rotor Imbalance for Offshore Wind Turbines

Damage Detection of Composite Materials Using Data Fusion With Deep Neural Networks

Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings

Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics

Uncertainty Quantification of Wind Turbine Wakes Under Random Wind Conditions

Damage Classification of Composites Using Machine Learning

Probabilistic Design and Uncertainty Quantification of the Structure of a Monopile Offshore Wind Turbine

Risk-Based Analysis of Femoral Stem Considering Uncertainty in its Design Parameters

A Probabilistic Model-Based Prognostics Using Meshfree Modeling: A Case Study on Fatigue Life of a Cantilever Beam

Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only