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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

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

Journal Articles

Prognostics and Health Management of Wind Energy Infrastructure Systems

Celalettin Yüce, Ozhan Gecgel, Oğuz Doğan, Shweta Dabetwar, Yasar Yanik, Onur Can Kalay, Esin Karpat, Fatih Karpat, Stephen Ekwaro-Osire

ASME J. Risk Uncertainty Part B. June 2022, 8(2): 020801.

Paper No: RISK-21-1020

DOI: https://doi.org/10.1115/1.4053422

Published Online: February 16, 2022

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Topics: Machine learning, Physics, Uncertainty, Wind energy, Algorithms, Errors

Proceedings Papers

Stress Analysis of Additive Manufactured Lightweight Spur Gears

Tufan Gürkan Yılmaz, Onur Can Kalay, Fatih Karpat, Stephen Ekwaro-Osire

Proc. ASME. IMECE2021, Volume 2A: Advanced Manufacturing, V02AT02A075, November 1–5, 2021

Paper No: IMECE2021-73666

DOI: https://doi.org/10.1115/IMECE2021-73666

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Topics: Additive manufacturing, Gears, Spur gears, Stress analysis (Engineering)

Journal Articles

Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion

Ozhan Gecgel, Stephen Ekwaro-Osire, Utku Gulbulak, Tobias Souza Morais

J. Vib. Acoust. June 2022, 144(3): 031003.

Paper No: VIB-21-1097

DOI: https://doi.org/10.1115/1.4052364

Published Online: October 6, 2021

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Topics: Artificial neural networks, Data fusion, Dynamic models, Finite element model, Fracture (Materials), Mechanical drives, Noise (Sound), Planetary gears, Stiffness, Gear teeth

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

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

Journal Articles

Fabrication, Mechanics, and Reliability Analysis for Three-Dimensional Printed Lattice Designs

Nitin Nagesh Kulkarni, Stephen Ekwaro-Osire, Paul F. Egan

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011107.

Paper No: RISK-21-1009

DOI: https://doi.org/10.1115/1.4051747

Published Online: August 13, 2021

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Topics: Density, Design, Event history analysis, Manufacturing, Printing, Reliability, Yield stress, Additive manufacturing, Probability, Stress

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

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

Proceedings Papers

Mechanical Testing and Reliability Analysis for 3D Printed Cubic Lattices

Nitin Nagesh Kulkarni, Stephen Ekwaro-Osire, Paul F. Egan

Proc. ASME. IMECE2020, Volume 14: Safety Engineering, Risk, and Reliability Analysis, V014T14A040, November 16–19, 2020

Paper No: IMECE2020-23694

DOI: https://doi.org/10.1115/IMECE2020-23694

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Topics: Additive manufacturing, Design, Event history analysis, Mechanical testing, Reliability

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

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

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

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

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

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Topics: Offshore wind turbines, Rotors, Uncertainty quantification

Proceedings Papers

Probabilistic Analysis of the Fatigue Life of Offshore Wind Turbine Structures

Abraham Nispel, Stephen Ekwaro-Osire, João Paolo Dias

Proc. ASME. GT2020, Volume 12: Wind Energy, V012T42A004, September 21–25, 2020

Paper No: GT2020-14742

DOI: https://doi.org/10.1115/GT2020-14742

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Topics: Fatigue life, Offshore wind turbines, Reliability, Uncertainty quantification

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

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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

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

Journal Articles

Magnetic Resonance Image Based Computational Modeling for Anterior Cruciate Ligament Response at Low Knee Flexion Angle

Ariful I. Bhuiyan, Nabila Shamim, Stephen Ekwaro-Osire

ASME J of Medical Diagnostics. February 2021, 4(1): 011001.

Paper No: JESMDT-20-1027

DOI: https://doi.org/10.1115/1.4048701

Published Online: October 28, 2020

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Topics: Anterior cruciate ligament, Knee, Modeling, Magnetic resonance

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

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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

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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

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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

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

Journal Articles

Determining Probability of Importance of Features in a Sketch

Ricardo Cruz-Lozano, Fisseha M. Alemayehu, Stephen Ekwaro-Osire, Haileyesus B. Endeshaw

ASME J. Risk Uncertainty Part B. December 2017, 3(4): 041003.

Paper No: RISK-16-1051

DOI: https://doi.org/10.1115/1.4035867

Published Online: June 13, 2017

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Topics: Probability, Uncertainty, Bicycles, Shapes

Journal citation

NARROW

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

Prognostics and Health Management of Wind Energy Infrastructure Systems

Stress Analysis of Additive Manufactured Lightweight Spur Gears

Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion

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

Fabrication, Mechanics, and Reliability Analysis for Three-Dimensional Printed Lattice Designs

Uncertainty Quantification for Fatigue Life of Offshore Wind Turbine Structure

Mechanical Testing and Reliability Analysis for 3D Printed Cubic Lattices

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

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

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

Probabilistic Analysis of the Fatigue Life of Offshore Wind Turbine Structures

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

Magnetic Resonance Image Based Computational Modeling for Anterior Cruciate Ligament Response at Low Knee Flexion Angle

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

Determining Probability of Importance of Features in a Sketch

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