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Proceedings Papers

Semi-Supervised CNN-Based SVDD Anomaly Detection for Condition Monitoring of Wind Turbines

Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias

Proc. ASME. IOWTC2022, ASME 2022 4th International Offshore Wind Technical Conference, V001T01A019, December 7–8, 2022

Paper No: IOWTC2022-98704

DOI: https://doi.org/10.1115/IOWTC2022-98704

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Topics: Condition monitoring, Wind turbines

Proceedings Papers

A Framework for Condition Monitoring and Risk-Based Decision Support Involving a Vessel State Observer

Xu Han, Bernt J. Leira, Svein Sævik, Gowtham Radhakrishnan, Stian Skjong, Lars T. Kyllingstad

Proc. ASME. OMAE2021, Volume 2: Structures, Safety, and Reliability, V002T02A018, June 21–30, 2021

Paper No: OMAE2021-61850

DOI: https://doi.org/10.1115/OMAE2021-61850

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Topics: Condition monitoring, Risk, State estimation, Vessels, Sensors, Data acquisition, Inertia (Mechanics), Waves, Center of mass, Damping

Proceedings Papers

On Uncertainty Assessment of Fatigue Damage of Propulsion Shaft Under Ice Impact

Etienne Purcell, Amir R. Nejad, Mostafa Valavi, Anriëtte Bekker

Proc. ASME. OMAE2021, Volume 7: Polar and Arctic Sciences and Technology, V007T07A006, June 21–30, 2021

Paper No: OMAE2021-62288

DOI: https://doi.org/10.1115/OMAE2021-62288

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Topics: Fatigue damage, Ice, Propulsion, Uncertainty, Stress, Maintenance, Condition monitoring, Design, Failure, Service life (Equipment)

Proceedings Papers

Condition Monitoring of Ship Propulsion Systems: State-of-the-Art, Development Trend and Role of Digital Twin

Amir R. Nejad, Etienne Purcell, Mostafa Valavi, Roman Hudak, Benjamin Lehmann, Francisco Gutiérrez Guzmán, Felix Behrendt, Angelo Mario Bõhm, Franz von Bock und Polach, Brendon M. Nickerson, Anriëtte Bekker, Withold Drazyk

Proc. ASME. OMAE2021, Volume 7: Polar and Arctic Sciences and Technology, V007T07A005, June 21–30, 2021

Paper No: OMAE2021-61847

DOI: https://doi.org/10.1115/OMAE2021-61847

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Topics: Condition monitoring, Propulsion systems, Ships, Failure, Antarctic region, Arctic region, Ice, Machinery, Maintenance, Propulsion

Proceedings Papers

Dynamic Model Development of Wind Turbine Drivetrains by Using Sensor Measurements

Diederik van Binsbergen, Amir R. Nejad, Jan Helsen

Proc. ASME. OMAE2021, Volume 9: Ocean Renewable Energy, V009T09A020, June 21–30, 2021

Paper No: OMAE2021-61939

DOI: https://doi.org/10.1115/OMAE2021-61939

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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

Cédric Peeters, Jérôme Antoni, Quentin Leclère, Jan Helsen

Proc. ASME. IOWTC2021, ASME 2021 3rd International Offshore Wind Technical Conference, V001T01A019, February 16–17, 2021

Paper No: IOWTC2021-3567

DOI: https://doi.org/10.1115/IOWTC2021-3567

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Topics: Condition monitoring, Ocean engineering, Rotation, Wind farms, Vibration, Offshore wind turbines, Reliability, Tachometers

Proceedings Papers

SPIRE: Flexible Riser Condition Monitoring System Applied to Pre-Salt Fields With High CO 2

M. O. Brandão, J. Lima, E. Almeida, O. Borges, J. McCarthy, P. Nott, J. McNab

Proc. ASME. OMAE2020, Volume 4: Pipelines, Risers, and Subsea Systems, V004T04A020, August 3–7, 2020

Paper No: OMAE2020-18948

DOI: https://doi.org/10.1115/OMAE2020-18948

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Topics: Carbon dioxide, Condition monitoring, Failure, Flexible risers, Ocean engineering, Pipes, Water, Wells, Annulus, Drilling

Proceedings Papers

Condition Monitoring of Wind Turbine Drivetrain Bearings

Konstantinos Gryllias, Junyu Qi, Alexandre Mauricio, Chenyu Liu

Proc. ASME. IOWTC2019, ASME 2019 2nd International Offshore Wind Technical Conference, V001T01A033, November 3–6, 2019

Paper No: IOWTC2019-7603

DOI: https://doi.org/10.1115/IOWTC2019-7603

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Topics: Bearings, Condition monitoring, Wind turbines, Ocean engineering, Vibration, Wind, Floating wind turbines, Maintenance, Offshore wind turbines, Wind energy

Proceedings Papers

Experimental Validation of Angular Velocity Measurements for Wind Turbines Drivetrain Condition Monitoring

Farid K. Moghadam, Amir R. Nejad

Proc. ASME. IOWTC2019, ASME 2019 2nd International Offshore Wind Technical Conference, V001T01A035, November 3–6, 2019

Paper No: IOWTC2019-7620

DOI: https://doi.org/10.1115/IOWTC2019-7620

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Topics: Condition monitoring, Velocity measurement, Wind turbines, Bearings, Sensors, Turbines, Vibration, Error functions, Excitation, Gears

Proceedings Papers

On Digital Twin Condition Monitoring Approach for Drivetrains in Marine Applications

Sigrid S. Johansen, Amir R. Nejad

Proc. ASME. OMAE2019, Volume 10: Ocean Renewable Energy, V010T09A013, June 9–14, 2019

Paper No: OMAE2019-95152

DOI: https://doi.org/10.1115/OMAE2019-95152

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Topics: Condition monitoring, Maintenance, Flaw detection, Modeling, Design, Stiffness, Vessels, Downtime, Ocean energy, Ocean engineering

Proceedings Papers

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

Cédric Peeters, Timothy Verstraeten, Ann Nowé, Jan Helsen

Proc. ASME. OMAE2019, Volume 10: Ocean Renewable Energy, V010T09A014, June 9–14, 2019

Paper No: OMAE2019-96713

DOI: https://doi.org/10.1115/OMAE2019-96713

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Topics: Machine learning, Planetary gears, Wind turbines, Signal processing, Vibration, Condition monitoring, Damage, Inspection, Mechanical drives, Physics

Proceedings Papers

The Effect of Operational Parameters on Vibration Signals of Wind Turbine Gearboxes

Sofia Koukoura, Eric Bechhoefer, James Carroll, Alasdair McDonald

Proc. ASME. OMAE2019, Volume 10: Ocean Renewable Energy, V010T09A015, June 9–14, 2019

Paper No: OMAE2019-96720

DOI: https://doi.org/10.1115/OMAE2019-96720

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Topics: Signals, Vibration, Wind turbines, Maintenance, Mechanical drives, Accelerometers, Condition monitoring, Filtration, Flaw detection, Optimization

Proceedings Papers

Operational Data to Maintenance Optimization: Closing the Loop in Offshore Wind O&M

Alexios Koltsidopoulos Papatzimos, Tariq Dawood, Philipp R. Thies

Proc. ASME. IOWTC2018, ASME 2018 1st International Offshore Wind Technical Conference, V001T01A038, November 4–7, 2018

Paper No: IOWTC2018-1058

DOI: https://doi.org/10.1115/IOWTC2018-1058

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Topics: Maintenance, Ocean engineering, Optimization, Wind, Algorithms, Wind farms, Machine learning, Support vector machines, Condition monitoring, Data acquisition

Proceedings Papers

Development of Reliable Condition Monitoring Technology for Maritime Using FMECA and Bayesian Network Modeling

Shan Guan, Knut Erik Knutsen, Øystein Åsheim Alnes

Proc. ASME. OMAE2018, Volume 3: Structures, Safety, and Reliability, V003T02A052, June 17–22, 2018

Paper No: OMAE2018-77009

DOI: https://doi.org/10.1115/OMAE2018-77009

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Topics: Condition monitoring, Modeling, Sensors, Failure mechanisms, Reliability, Ships, Vibration, Accuracy and precision, Acoustic emissions, Downtime

Proceedings Papers

Parametric Model of Dead Leg Steady-State Thermal Performance

Arnaud Sanchis, Sonny Andersson, Atle Jensen

Proc. ASME. OMAE2018, Volume 5: Pipelines, Risers, and Subsea Systems, V005T04A036, June 17–22, 2018

Paper No: OMAE2018-78407

DOI: https://doi.org/10.1115/OMAE2018-78407

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Topics: Computational fluid dynamics, Condition monitoring, Design, Fluids, Insulation, Low temperature, Manufacturing systems, Ocean engineering, Optimization, Piping systems

Proceedings Papers

Reliability Analysis and Risk-Based Methods for Planning of Operation and Maintenance of Offshore Wind Turbines

John Dalsgaard Sørensen

Proc. ASME. OMAE2017, Volume 9: Offshore Geotechnics; Torgeir Moan Honoring Symposium, V009T12A039, June 25–30, 2017

Paper No: OMAE2017-62713

DOI: https://doi.org/10.1115/OMAE2017-62713

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Topics: Event history analysis, Maintenance, Offshore wind turbines, Risk, Reliability, Wind turbines, Calibration, Design, Safety, Structural elements (Construction)

Proceedings Papers

Integrating Structural Health and Condition Monitoring: A Cost Benefit Analysis for Offshore Wind Energy

Allan May, David McMillan, Sebastian Thöns

Proc. ASME. OMAE2015, Volume 9: Ocean Renewable Energy, V009T09A057, May 31–June 5, 2015

Paper No: OMAE2015-41126

DOI: https://doi.org/10.1115/OMAE2015-41126

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Topics: Condition monitoring, Cost benefit analysis, Ocean engineering, Wind energy, Structural health monitoring, Maintenance, Wind power, Engineering simulation, Failure, Modeling

Proceedings Papers

Improving Reliability of Mechanical Equipment in Dredgers Based on Wear Control Methods

Xiaojian Xu, Xinping Yan, Chenxing Sheng, Xincong Zhou

Proc. ASME. OMAE2015, Volume 3: Structures, Safety and Reliability, V003T02A056, May 31–June 5, 2015

Paper No: OMAE2015-42418

DOI: https://doi.org/10.1115/OMAE2015-42418

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Topics: Reliability, Wear, Maintenance, Condition monitoring, Damage, Marine transportation, Port construction, Tribology

Proceedings Papers

Residual Service Life Prediction of Offshore Concrete Structures With Chloride-Induced Damage: The State of the Art

S. M. S. M. K. Samarakoon, R. M. Chandima Ratnayake

Proc. ASME. OMAE2013, Volume 3: Materials Technology; Ocean Space Utilization, V003T03A018, June 9–14, 2013

Paper No: OMAE2013-10460

DOI: https://doi.org/10.1115/OMAE2013-10460

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Topics: Concretes, Damage, Ocean engineering, Service life (Equipment), Corrosion, Maintenance, Reinforced concrete, Computer simulation, Condition monitoring, In-service inspection

Proceedings Papers

Real Time Prediction of Second Order Wave Drift Forces for Wave Force Feed Forward in DP

P. Naaijen, R. H. M. Huijsmans

Proc. ASME. OMAE2010, 29th International Conference on Ocean, Offshore and Arctic Engineering: Volume 4, 357-364, June 6–11, 2010

Paper No: OMAE2010-20618

DOI: https://doi.org/10.1115/OMAE2010-20618

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Topics: Feedforward control, Wave drift forces, Wave forces, Waves, Probes, Errors, Radar, Condition monitoring, Dynamic positioning systems, Motion estimation

NARROW

Semi-Supervised CNN-Based SVDD Anomaly Detection for Condition Monitoring of Wind Turbines

A Framework for Condition Monitoring and Risk-Based Decision Support Involving a Vessel State Observer

On Uncertainty Assessment of Fatigue Damage of Propulsion Shaft Under Ice Impact

Condition Monitoring of Ship Propulsion Systems: State-of-the-Art, Development Trend and Role of Digital Twin

Dynamic Model Development of Wind Turbine Drivetrains by Using Sensor Measurements

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

SPIRE: Flexible Riser Condition Monitoring System Applied to Pre-Salt Fields With High CO 2

Condition Monitoring of Wind Turbine Drivetrain Bearings

Experimental Validation of Angular Velocity Measurements for Wind Turbines Drivetrain Condition Monitoring

On Digital Twin Condition Monitoring Approach for Drivetrains in Marine Applications

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

The Effect of Operational Parameters on Vibration Signals of Wind Turbine Gearboxes

Operational Data to Maintenance Optimization: Closing the Loop in Offshore Wind O&M

Development of Reliable Condition Monitoring Technology for Maritime Using FMECA and Bayesian Network Modeling

Parametric Model of Dead Leg Steady-State Thermal Performance

Reliability Analysis and Risk-Based Methods for Planning of Operation and Maintenance of Offshore Wind Turbines

Integrating Structural Health and Condition Monitoring: A Cost Benefit Analysis for Offshore Wind Energy

Improving Reliability of Mechanical Equipment in Dredgers Based on Wear Control Methods

Residual Service Life Prediction of Offshore Concrete Structures With Chloride-Induced Damage: The State of the Art

Real Time Prediction of Second Order Wave Drift Forces for Wave Force Feed Forward in DP

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