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Proceedings Papers

Transient Engine Condition Monitoring of Micro Gas Turbines in a Highly Dynamic Setting

Tihomir Varchev, Matthias Weiss, Stephan Staudacher, Christian Koch

Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A013, June 13–17, 2022

Paper No: GT2022-82377

DOI: https://doi.org/10.1115/GT2022-82377

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Topics: Condition monitoring, Engines, Micro gas turbines, Transients (Dynamics), Flight, Artificial neural networks, Flow (Dynamics), Measurement uncertainty, Noise (Sound), Wavelets

Proceedings Papers

Condition Monitoring Insight Using Bayesian Inference and Rotor Dynamics Modelling for Rotating Machinery

Greg Nelson, Iain Palmer

Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT25A002, June 13–17, 2022

Paper No: GT2022-80976

DOI: https://doi.org/10.1115/GT2022-80976

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Topics: Condition monitoring, Machinery, Modeling, Rotordynamics, Vibration, Bearings, Clearances (Engineering), Compressors, Digital twin, Finite element model

Proceedings Papers

The Application of an Artificial Neural Network As a Baseline Model For Condition Monitoring of Innovative Humidified Micro Gas Turbine Cycles

Kathryn Colquhoun, Homam Nikpey Somehsaraei, Ward De Paepe

Proc. ASME. GT2022, Volume 4: Cycle Innovations; Cycle Innovations: Energy Storage, V004T06A021, June 13–17, 2022

Paper No: GT2022-82444

DOI: https://doi.org/10.1115/GT2022-82444

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Topics: Artificial neural networks, Condition monitoring, Cycles, Micro gas turbines

Proceedings Papers

A Proven Engine Optimizer for the Aeroderivative Industry: Challenges and Solutions

Nicolas Demougeot, Franklin van den Hout, Danny Grobbe, Wenping Wang

Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A009, June 13–17, 2022

Paper No: GT2022-83026

DOI: https://doi.org/10.1115/GT2022-83026

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Topics: Engines, Gas turbines, Emissions, Dynamic models, Combustion systems, Combustion, Control equipment, Dynamics (Mechanics), Combustion chambers, Computer software

Proceedings Papers

Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring

Eric Stefan Miele, Fabrizio Bonacina, Alessandro Corsini, Arianna Peruch, Marco Cannarozzo, Daniele Baldan, Francesco Pennisi

Proc. ASME. GT2022, Volume 11: Wind Energy, V011T38A015, June 13–17, 2022

Paper No: GT2022-82462

DOI: https://doi.org/10.1115/GT2022-82462

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Topics: Condition monitoring, Feature selection, Horizontal axis wind turbines, Sensors

Proceedings Papers

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

Kayacan Kestel, Cédric Peeters, Jérôme Antoni, Shawn Sheng, Jan Helsen

Proc. ASME. GT2022, Volume 11: Wind Energy, V011T38A005, June 13–17, 2022

Paper No: GT2022-81294

DOI: https://doi.org/10.1115/GT2022-81294

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Topics: Bearings, Condition monitoring, Flaw detection, Mechanical drives, Vibration, Wind turbines

Proceedings Papers

Condition Monitoring of Wind Turbines Based on Anomaly Detection Using Deep Support Vector Data Description

Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias

Proc. ASME. GT2022, Volume 11: Wind Energy, V011T38A018, June 13–17, 2022

Paper No: GT2022-82624

DOI: https://doi.org/10.1115/GT2022-82624

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Topics: Condition monitoring, Wind turbines

Proceedings Papers

Condition Monitoring of Wind Turbines Based on the Scattering Transform of Vibration Data

Junyu Qi, Alexandre Mauricio, Konstantinos Gryllias

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T40A005, June 7–11, 2021

Paper No: GT2021-60280

DOI: https://doi.org/10.1115/GT2021-60280

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Topics: Bearings, Condition monitoring, Electromagnetic scattering, Radiation scattering, Scattering (Physics), Vibration, Wind turbines

Proceedings Papers

On the Effects of a Shaft Crack Propagation on the Dynamic Behavior of a Steam Turbine

Steven Chatterton, Paolo Pennacchi, Andrea Vania

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT29A003, September 21–25, 2020

Paper No: GT2020-14207

DOI: https://doi.org/10.1115/GT2020-14207

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Topics: Crack propagation, Fracture (Materials), Machinery, Steam turbines, Vibration, Cross section (Physics), Condition monitoring, Fatigue cracks, Fault diagnosis, Probes

Proceedings Papers

Cyclostationary Approach for Instabilities Detection and Condition Monitoring of Centrifugal Compressor

Mateusz Stajuda, David Garcia Cava, Grzegorz Liśkiewicz

Proc. ASME. GT2020, Volume 2E: Turbomachinery, V02ET41A032, September 21–25, 2020

Paper No: GT2020-15699

DOI: https://doi.org/10.1115/GT2020-15699

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Topics: Compressors, Condition monitoring

Proceedings Papers

Data Driven Fault Detection of Premixer Centerbody Degradation in a Swirl Combustor

Raghul Manosh Kumar, Benjamin Peters, Benjamin Emerson, Kamran Paynabar, Nagi Gebraeel, Timothy Lieuwen

Proc. ASME. GT2020, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A007, September 21–25, 2020

Paper No: GT2020-14222

DOI: https://doi.org/10.1115/GT2020-14222

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Topics: Combustion chambers, Condition monitoring, Flaw detection, Algorithms, Flames, Gas turbines, Sensors, Sound pressure

Proceedings Papers

Possibilities and Limitations of Early Fault Detection in Gas Turbines

Bernhard Persigehl, Thomas Gellermann, Stefan Thumm, Johannes Stoiber

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A034, September 21–25, 2020

Paper No: GT2020-16251

DOI: https://doi.org/10.1115/GT2020-16251

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Topics: Flaw detection, Gas turbines, Maintenance, Failure, Damage, Condition monitoring

Proceedings Papers

Novel Cyclo-Non-Stationary Indicators for Monitoring of Rotating Machinery Operating Under Speed and Load Varying Conditions

Alexandre Mauricio, Dustin Helm, Markus Timusk, Jerome Antoni, Konstantinos Gryllias

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A018, September 21–25, 2020

Paper No: GT2020-15245

DOI: https://doi.org/10.1115/GT2020-15245

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Topics: Machinery, Stress, Signals, Condition monitoring, Failure, Maintenance, Bearings, Damage, Density, Excitation

Proceedings Papers

Real Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants

Elias Tsoutsanis, Moussa Hamadache, Roger Dixon

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A013, September 21–25, 2020

Paper No: GT2020-14748

DOI: https://doi.org/10.1115/GT2020-14748

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Topics: Gas turbines, Hybrid power systems, Transients (Dynamics), Engines, Stress, Wind farms, Condition monitoring, Electric power generation, Maintenance, Renewable energy

Proceedings Papers

Dynamic Gas Turbine Condition Monitoring Scheme With Multi-Part Neural Network

Zhouzheng Li, Kun Feng, Binbin Yan

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A007, September 21–25, 2020

Paper No: GT2020-14454

DOI: https://doi.org/10.1115/GT2020-14454

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Topics: Artificial neural networks, Condition monitoring, Failure, Gas turbines

Proceedings Papers

Comparison of Blind Diagnostic Indicators for Condition Monitoring of Wind Turbine Gearbox Bearings

Junyu Qi, Alexandre Mauricio, Konstantinos Gryllias

Proc. ASME. GT2020, Volume 12: Wind Energy, V012T42A008, September 21–25, 2020

Paper No: GT2020-15278

DOI: https://doi.org/10.1115/GT2020-15278

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Topics: Bearings, Condition monitoring, Entropy, Mechanical drives, Wind turbines

Proceedings Papers

Gas Path Diagnostics for a Once-Through Steam Generator

Yu-Zhi Chen, Yi-Guang Li, Mike A. Newby

Proc. ASME. GT2019, Volume 3: Coal, Biomass, Hydrogen, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T23A004, June 17–21, 2019

Paper No: GT2019-90324

DOI: https://doi.org/10.1115/GT2019-90324

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Topics: Boilers, Condition monitoring, Heat transfer, Maintenance, Newton's method, Noise (Sound), Power stations, Steam, Water

Proceedings Papers

Condition Monitoring of Wind Turbine Planetary Gearboxes Under Different Operating Conditions

Alexandre Mauricio, Shuangwen Sheng, Konstantinos Gryllias

Proc. ASME. GT2019, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T48A008, June 17–21, 2019

Paper No: GT2019-91136

DOI: https://doi.org/10.1115/GT2019-91136

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Topics: Condition monitoring, Wind turbines, Bearings, Machinery, Mechanical drives, Stress, Vibration, Electromagnetic spectrum, Filtration, Internet of things

Proceedings Papers

Vibration Based Condition Monitoring of Helicopter Gearboxes Based on Cyclostationary Analysis

Alexandre Mauricio, Linghao Zhou, David Mba, Konstantinos Gryllias

Proc. ASME. GT2019, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A020, June 17–21, 2019

Paper No: GT2019-91150

DOI: https://doi.org/10.1115/GT2019-91150

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Topics: Condition monitoring, Vibration, Mechanical drives, Bearings, Maintenance, Accidents, Decision making, Electromagnetic spectrum, Engines, Fatigue

Proceedings Papers

Use of Operating Parameters, Digital Replicas and Models for Condition Monitoring and Improved Equipment Health

Fausto Carlevaro, Stefano Cioncolini, Marzia Sepe, Ilaria Parrella, Carmine Allegorico, Laura De Stefanis, Mariagrazia Mastroianni, Ernesto Escobedo

Proc. ASME. GT2018, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T27A026, June 11–15, 2018

Paper No: GT2018-76849

DOI: https://doi.org/10.1115/GT2018-76849

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Topics: Condition monitoring, Compressors, Maintenance, Uncertainty, Wings, Algorithms, Arches, Bearings, Data acquisition, Engines

NARROW

Transient Engine Condition Monitoring of Micro Gas Turbines in a Highly Dynamic Setting

Condition Monitoring Insight Using Bayesian Inference and Rotor Dynamics Modelling for Rotating Machinery

The Application of an Artificial Neural Network As a Baseline Model For Condition Monitoring of Innovative Humidified Micro Gas Turbine Cycles

A Proven Engine Optimizer for the Aeroderivative Industry: Challenges and Solutions

Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring

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

Condition Monitoring of Wind Turbines Based on Anomaly Detection Using Deep Support Vector Data Description

Condition Monitoring of Wind Turbines Based on the Scattering Transform of Vibration Data

On the Effects of a Shaft Crack Propagation on the Dynamic Behavior of a Steam Turbine

Cyclostationary Approach for Instabilities Detection and Condition Monitoring of Centrifugal Compressor

Data Driven Fault Detection of Premixer Centerbody Degradation in a Swirl Combustor

Possibilities and Limitations of Early Fault Detection in Gas Turbines

Novel Cyclo-Non-Stationary Indicators for Monitoring of Rotating Machinery Operating Under Speed and Load Varying Conditions

Real Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants

Dynamic Gas Turbine Condition Monitoring Scheme With Multi-Part Neural Network

Comparison of Blind Diagnostic Indicators for Condition Monitoring of Wind Turbine Gearbox Bearings

Gas Path Diagnostics for a Once-Through Steam Generator

Condition Monitoring of Wind Turbine Planetary Gearboxes Under Different Operating Conditions

Vibration Based Condition Monitoring of Helicopter Gearboxes Based on Cyclostationary Analysis

Use of Operating Parameters, Digital Replicas and Models for Condition Monitoring and Improved Equipment Health

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