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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

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

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

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 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

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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

Prognostics and Health Management of Wind Energy Infrastructure Systems

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

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

Damage Classification of Composites Using Machine Learning

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

Journals

Conference Proceedings

eBooks

Resources

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

Prognostics and Health Management of Wind Energy Infrastructure Systems

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

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

Damage Classification of Composites Using Machine Learning

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

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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