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Proceedings Papers

Wind Turbine Drivetrain Fault Detection Using Multi-Variate Deep Learning Combined With Signal Processing

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Faras Jamil, Francisco Jara Avila, Konstantinos Vratsinis, Cédric Peeters, Jan Helsen
Proc. ASME. GT2023, Volume 14: Wind Energy, V014T37A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101689
https://doi.org/10.1115/GT2023-101689
View Paper titled, Wind Turbine Drivetrain Fault Detection Using Multi-Variate Deep Learning Combined With Signal Processing
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Topics: Flaw detection, Maintenance, Signal processing, Vibration, Wind turbines, Artificial neural networks, Emission spectroscopy, Errors, Fourier analysis, Machine learning
Proceedings Papers

Early Fault Detection Using Deep Learning on Compressed Cyclic Spectral Coherence Maps

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Fabian Perez Sanjines, Cédric Peeters, Timothy Verstraeten, Ivo Vervlimmeren, Ann Nowé, Jan Helsen
Proc. ASME. GT2023, Volume 14: Wind Energy, V014T37A001, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101596
https://doi.org/10.1115/GT2023-101596
View Paper titled, Early Fault Detection Using Deep Learning on Compressed Cyclic Spectral Coherence Maps
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Topics: Flaw detection, Turbines, Vibration, Failure, Maintenance, Signals, Artificial neural networks, Electromagnetic spectrum, Machinery, Renewable energy
eBook Chapter

Prediction of Melt Pool Temperature for Directed Energy Deposition Using Supervised Learning Methods on Optical Measurement Data

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Series: ASTM Selected Technical Papers
Publisher: ASTM International
Published: 2022
https://doi.org/10.1520/STP164420210133
ISBN: 978-0-8031-7735-2
Open the PDF for Prediction of Melt Pool Temperature for Directed Energy Deposition Using Supervised Learning Methods on Optical Measurement Data in another window
Proceedings Papers

Bearing Fault Detection on Wind Turbine Gearbox Vibrations Using Generalized Likelihood Ratio-Based Indicators

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Kayacan Kestel, Cédric Peeters, Jérôme Antoni, Shawn Sheng, Jan Helsen
Proc. ASME. GT2022, Volume 11: Wind Energy, V011T38A005, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-81294
https://doi.org/10.1115/GT2022-81294
View Paper titled, Bearing Fault Detection on Wind Turbine Gearbox Vibrations Using Generalized Likelihood Ratio-Based Indicators
Open the PDF for Bearing Fault Detection on Wind Turbine Gearbox Vibrations Using Generalized Likelihood Ratio-Based Indicators in another window
Topics: Bearings, Condition monitoring, Flaw detection, Mechanical drives, Vibration, Wind turbines
Proceedings Papers

Dynamic Model Development of Wind Turbine Drivetrains by Using Sensor Measurements

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Diederik van Binsbergen, Amir R. Nejad, Jan Helsen
Proc. ASME. OMAE2021, Volume 9: Ocean Renewable Energy, V009T09A020, June 21–30, 2021
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2021-61939
https://doi.org/10.1115/OMAE2021-61939
View Paper titled, Dynamic Model Development of Wind Turbine Drivetrains by Using Sensor Measurements
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Topics: Dynamic models, Sensors, Wind turbines, Simulation, Vibration, Bearings, Condition monitoring, Displacement, Gears, Renewable energy
Proceedings Papers

Performance Analysis of Tacholess Rotation Speed Estimation Methods for Condition Monitoring of Gearboxes of Offshore Wind Farm

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Cédric Peeters, Jérôme Antoni, Quentin Leclère, Jan Helsen
Proc. ASME. IOWTC2021, ASME 2021 3rd International Offshore Wind Technical Conference, V001T01A019, February 16–17, 2021
Publisher: American Society of Mechanical Engineers
Paper No: IOWTC2021-3567
https://doi.org/10.1115/IOWTC2021-3567
View Paper titled, Performance Analysis of Tacholess Rotation Speed Estimation Methods for Condition Monitoring of Gearboxes of Offshore Wind Farm
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Topics: Condition monitoring, Ocean engineering, Rotation, Wind farms, Vibration, Offshore wind turbines, Reliability, Tachometers
Proceedings Papers

Advanced Vibration Signal Processing Using Edge Computing to Monitor Wind Turbine Drivetrains

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Cédric Peeters, Timothy Verstraeten, Ann Nowé, Pieter-Jan Daems, Jan Helsen
Proc. ASME. IOWTC2019, ASME 2019 2nd International Offshore Wind Technical Conference, V001T01A036, November 3–6, 2019
Publisher: American Society of Mechanical Engineers
Paper No: IOWTC2019-7622
https://doi.org/10.1115/IOWTC2019-7622
View Paper titled, Advanced Vibration Signal Processing Using Edge Computing to Monitor Wind Turbine Drivetrains
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Topics: Signal processing, Vibration, Wind turbines, Ocean engineering, Computation, Failure, Machine learning, Mechanical drives, Pipelines, Signals
Proceedings Papers

Wind Turbine Planetary Gear Fault Identification Using Statistical Condition Indicators and Machine Learning

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Cédric Peeters, Timothy Verstraeten, Ann Nowé, Jan Helsen
Proc. ASME. OMAE2019, Volume 10: Ocean Renewable Energy, V010T09A014, June 9–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2019-96713
https://doi.org/10.1115/OMAE2019-96713
View Paper titled, Wind Turbine Planetary Gear Fault Identification Using Statistical Condition Indicators and Machine Learning
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Topics: Machine learning, Planetary gears, Wind turbines, Signal processing, Vibration, Condition monitoring, Damage, Inspection, Mechanical drives, Physics
Proceedings Papers

Pattern Mining for Learning Typical Turbine Response During Dynamic Wind Turbine Events

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Len Feremans, Boris Cule, Christof Devriendt, Bart Goethals, Jan Helsen
Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A018, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67910
https://doi.org/10.1115/DETC2017-67910
View Paper titled, Pattern Mining for Learning Typical Turbine Response During Dynamic Wind Turbine Events
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Topics: Mining, Turbines, Wind turbines, Failure, Algorithms, Maintenance, Ocean engineering, Wind energy, Wind velocity
Journal Articles

Large Scale Validation of a Flexible Multibody Wind Turbine Gearbox Model

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Frederik Vanhollebeke, Pepijn Peeters, Jan Helsen, Emilio Di Lorenzo, Simone Manzato, Joris Peeters, Dirk Vandepitte, Wim Desmet
Journal: Journal of Computational and Nonlinear Dynamics
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. July 2015, 10(4): 041006.
Paper No: CND-13-1305
https://doi.org/10.1115/1.4028600
Published Online: July 1, 2015
View Articletitled, Large Scale Validation of a Flexible Multibody Wind Turbine Gearbox Model
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Topics: Gears, Mechanical drives
Proceedings Papers

Dynamic Response of a Multi-Megawatt Wind Turbine Drivetrain Under Voltage Dips Using a Coupled Flexible Multibody Approach

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Bart Blockmans, Jan Helsen, Frederik Vanhollebeke, Wim Desmet
Proc. ASME. IDETC-CIE2013, Volume 5: 25th International Conference on Design Theory and Methodology; ASME 2013 Power Transmission and Gearing Conference, V005T11A045, August 4–7, 2013
Publisher: American Society of Mechanical Engineers
Paper No: DETC2013-12458
https://doi.org/10.1115/DETC2013-12458
View Paper titled, Dynamic Response of a Multi-Megawatt Wind Turbine Drivetrain Under Voltage Dips Using a Coupled Flexible Multibody Approach
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Topics: Dynamic response, Wind turbines, Mechanical drives, Stress, Modeling, Transients (Dynamics), Bearings, Control equipment, Design, Electromagnetic induction
Proceedings Papers

The Dynamic Behavior Induced by Different Wind Turbine Gearbox Suspension Methods Assessed by Means of the Flexible Multibody Technique

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Jan Helsen, Klaas Vanslambrouck, Frederik Vanhollebeke, Wim Desmet
Proc. ASME. IMECE2012, Volume 4: Dynamics, Control and Uncertainty, Parts A and B, 1093-1103, November 9–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2012-87321
https://doi.org/10.1115/IMECE2012-87321
View Paper titled, The Dynamic Behavior Induced by Different Wind Turbine Gearbox Suspension Methods Assessed by Means of the Flexible Multibody Technique
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Topics: Mechanical drives, Wind turbines, Turbines, Rotors, Stress, Trains, Vibration, Bearings, Dampers, Dynamics (Mechanics)