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Journal Articles

Experimental Investigation of Combustion Dynamics in a High-Pressure Liquid-Fueled Swirl Combustor

Aravind Chandh, Subodh Adhikari, David Wu, Randall McKinney, Benjamin Emerson, Qingguo Zhang, Dibesh Joshi, Baris Sen, Dustin Davis

J. Eng. Gas Turbines Power. June 2023, 145(6): 061018.

Paper No: GTP-22-1477

DOI: https://doi.org/10.1115/1.4056718

Published Online: February 15, 2023

View Article titled, Experimental Investigation of Combustion Dynamics in a High-Pressure Liquid-Fueled Swirl Combustor

Topics: Combustion, Combustion chambers, Dynamics (Mechanics), High pressure (Physics), Noise (Sound), Pressure, Signals, Turbulence, Bifurcation, Acoustics

Journal Articles

Convolutional Neural Network Denoising Auto-Encoders for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering

Junjie Zhao, Yi-Guang Li, Suresh Sampath

J. Eng. Gas Turbines Power. June 2023, 145(6): 061013.

Paper No: GTP-22-1234

DOI: https://doi.org/10.1115/1.4056128

Published Online: February 6, 2023

View Article titled, Convolutional Neural Network Denoising Auto-Encoders for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering

Topics: Artificial neural networks, Filtration, Noise (Sound), Signals, Aircraft engines, Engines, Flight, Time series

Journal Articles

Statistical Rule Extraction for Gas Turbine Trip Prediction

Giovanni Bechini, Enzo Losi, Lucrezia Manservigi, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan, Mauro Venturini

J. Eng. Gas Turbines Power. May 2023, 145(5): 051017.

Paper No: GTP-22-1408

DOI: https://doi.org/10.1115/1.4056287

Published Online: January 10, 2023

View Article titled, Statistical Rule Extraction for Gas Turbine Trip Prediction

Topics: Gas turbines, Statistical analysis, Turbines, Machine learning, Time series

Journal Articles

From Pressure Time Series Data to Flame Transfer Functions: A Framework for Perfectly Premixed Swirling Flames

Abdulla Ghani, Alp Albayrak

J. Eng. Gas Turbines Power. January 2023, 145(1): 011005.

Paper No: GTP-22-1387

DOI: https://doi.org/10.1115/1.4055724

Published Online: October 19, 2022

View Article titled, From Pressure Time Series Data to Flame Transfer Functions: A Framework for Perfectly Premixed Swirling Flames

Topics: Flames, Optimization, Pressure, Transfer functions, Swirling flow, Time series, Acoustics, Delays, Network models, Combustion chambers

Journal Articles

Experimental Investigation of Interactions Between Two Closely Spaced Azimuthal Modes in a Multinozzle Can Combustor

Jeongwon Kim, Tony John, Subodh Adhikari, David Wu, Benjamin Emerson, Vishal Acharya, Mitsunori Isono, Toshihiko Saito, Timothy Lieuwen

J. Eng. Gas Turbines Power. October 2022, 144(10): 101021.

Paper No: GTP-22-1279

DOI: https://doi.org/10.1115/1.4055362

Published Online: September 20, 2022

View Article titled, Experimental Investigation of Interactions Between Two Closely Spaced Azimuthal Modes in a Multinozzle Can Combustor

Topics: Combustion chambers, Dynamics (Mechanics), Oscillations, Pressure, Signals, Spectra (Spectroscopy), Spin (Aerodynamics), Standing waves, Time series, Waves

Journal Articles

Effect of Counter- and Co-Swirl on Low-Frequency Combustion Instabilities of Jet A-1 Spray Flames

Byeonguk Ahn, Kyu Tae Kim

J. Eng. Gas Turbines Power. October 2022, 144(10): 101020.

Paper No: GTP-22-1391

DOI: https://doi.org/10.1115/1.4055354

Published Online: September 12, 2022

View Article titled, Effect of Counter- and Co-Swirl on Low-Frequency Combustion Instabilities of Jet A-1 Spray Flames

Topics: Combustion, Combustion chambers, Flames, Heat, Oscillations, Pressure, Sprays, Dynamics (Mechanics), Fuels, Flow (Dynamics)

Journal Articles

Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi

J. Eng. Gas Turbines Power. March 2022, 144(3): 031025.

Paper No: GTP-21-1324

DOI: https://doi.org/10.1115/1.4053194

Published Online: January 21, 2022

View Article titled, Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

Topics: Gas turbines, Reliability, Machine learning, Time series, Temperature, Compressors, Image segmentation, Natural, scientific and engineering processes and practices, Sensors, Thermocouples

Journal Articles

Delay Identification in Thermoacoustics

F. Gant, G. Ghirardo, A. Cuquel, M. R. Bothien

J. Eng. Gas Turbines Power. February 2022, 144(2): 021005.

Paper No: GTP-21-1340

DOI: https://doi.org/10.1115/1.4052060

Published Online: November 1, 2021

View Article titled, Delay Identification in Thermoacoustics

Topics: Acoustics, Delays, Oscillations, Time series, Flames, Maximum likelihood estimation, Pressure, Noise (Sound), Sound pressure, Signals

Journal Articles

Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines

Kazuhiko Komatsu, Hironori Miyazawa, Cheng Yiran, Masayuki Sato, Takashi Furusawa, Satoru Yamamoto, Hiroaki Kobayashi

J. Eng. Gas Turbines Power. January 2022, 144(1): 011007.

Paper No: GTP-21-1364

DOI: https://doi.org/10.1115/1.4052142

Published Online: October 13, 2021

View Article titled, Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines

Topics: Blades, Computer simulation, Failure, Flow (Dynamics), Machinery, Pressure, Rotors, Stators, Steam turbines, Time series

Journal Articles

Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behavior

Induja Pavithran, Vishnu R. Unni, Abhishek Saha, Alan J. Varghese, R. I. Sujith, Norbert Marwan, Jürgen Kurths

J. Eng. Gas Turbines Power. December 2021, 143(12): 121005.

Paper No: GTP-21-1336

DOI: https://doi.org/10.1115/1.4052059

Published Online: October 4, 2021

View Article titled, Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behavior

Topics: Combustion chambers, Oscillations, Time series, Pressure, Turbulence, Limit cycles, Fluctuations (Physics), Signals

Journal Articles

Protection and Identification of Thermoacoustic Azimuthal Modes

G. Ghirardo, F. Gant, F. Boudy, M. R. Bothien

J. Eng. Gas Turbines Power. April 2021, 143(4): 041021.

Paper No: GTP-20-1736

DOI: https://doi.org/10.1115/1.4049909

Published Online: February 26, 2021

View Article titled, Protection and Identification of Thermoacoustic Azimuthal Modes

Topics: Acoustics, Combustion chambers, Engines, Flames, Noise (Sound), Phase space, Sound pressure, Time series, Annulus, Dynamics (Mechanics)

Journal Articles

Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi

J. Eng. Gas Turbines Power. March 2021, 143(3): 031014.

Paper No: GTP-20-1534

DOI: https://doi.org/10.1115/1.4049503

Published Online: February 10, 2021

View Article titled, Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series

Topics: Transients (Dynamics), Time series

Journal Articles

A Probabilistic Uncertainty Estimation Method for Turbulence Parameters Measured by Hot-Wire Anemometry in Short-Duration Wind Tunnels

Elissavet Boufidi, Sergio Lavagnoli, Fabrizio Fontaneto

J. Eng. Gas Turbines Power. March 2020, 142(3): 031007.

Paper No: GTP-19-1364

DOI: https://doi.org/10.1115/1.4044780

Published Online: January 17, 2020

View Article titled, A Probabilistic Uncertainty Estimation Method for Turbulence Parameters Measured by Hot-Wire Anemometry in Short-Duration Wind Tunnels

Topics: Turbulence, Uncertainty, Wire, Calibration, Flow (Dynamics), Time series

Journal Articles

Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini

J. Eng. Gas Turbines Power. November 2019, 141(11): 111019.

Paper No: GTP-19-1379

DOI: https://doi.org/10.1115/1.4044781

Published Online: October 18, 2019

View Article titled, Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models

Topics: Sensors, Time series, Gas turbines

Journal Articles

Direct Assessment of the Acoustic Scattering Matrix of a Turbulent Swirl Combustor by Combining System Identification, Large Eddy Simulation and Analytical Approaches

Malte Merk, Camilo Silva, Wolfgang Polifke, Renaud Gaudron, Marco Gatti, Clément Mirat, Thierry Schuller

J. Eng. Gas Turbines Power. February 2019, 141(2): 021035.

Paper No: GTP-18-1280

DOI: https://doi.org/10.1115/1.4040731

Published Online: November 14, 2018

View Article titled, Direct Assessment of the Acoustic Scattering Matrix of a Turbulent Swirl Combustor by Combining System Identification, Large Eddy Simulation and Analytical Approaches

Topics: Acoustics, Combustion chambers, Flames, Large eddy simulation, S-matrix theory, Turbulence, Time series, Waves, Electromagnetic scattering, Radiation scattering

Journal Articles

Capability of the Bayesian Forecasting Method to Predict Field Time Series

Nicolò Gatta, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini

J. Eng. Gas Turbines Power. December 2018, 140(12): 121013.

Paper No: GTP-18-1265

DOI: https://doi.org/10.1115/1.4040736

Published Online: October 29, 2018

View Article titled, Capability of the Bayesian Forecasting Method to Predict Field Time Series

Topics: Errors, Gas turbines, Sensors, Steady state, Temperature, Time series, Algorithms

Journal Articles

Quantification and Propagation of Uncertainties in Identification of Flame Impulse Response for Thermoacoustic Stability Analysis

Shuai Guo, Camilo F. Silva, Abdulla Ghani, Wolfgang Polifke

J. Eng. Gas Turbines Power. February 2019, 141(2): 021032.

Paper No: GTP-18-1585

DOI: https://doi.org/10.1115/1.4041652

Published Online: October 23, 2018

View Article titled, Quantification and Propagation of Uncertainties in Identification of Flame Impulse Response for Thermoacoustic Stability Analysis

Topics: Acoustics, Computational fluid dynamics, Flames, Impulse (Physics), Simulation, Stability, Uncertainty, Uncertainty quantification, Time series, Combustion chambers

Journal Articles

Fractal Characteristics of Combustion Noise

Aditya Saurabh, Hassan Imran, Holger Nawroth, Christian Oliver Paschereit, Lipika Kabiraj

J. Eng. Gas Turbines Power. December 2018, 140(12): 121507.

Paper No: GTP-17-1494

DOI: https://doi.org/10.1115/1.4038766

Published Online: August 30, 2018

View Article titled, Fractal Characteristics of Combustion Noise

Topics: Combustion, Flames, Fluctuations (Physics), Fractals, Noise (Sound), Pressure, Time series, Reynolds number, Turbulence

Journal Articles

Resistant Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series: Development and Field Validation

Giuseppe Fabio Ceschini, Nicolò Gatta, Mauro Venturini, Thomas Hubauer, Alin Murarasu

J. Eng. Gas Turbines Power. May 2018, 140(5): 052401.

Paper No: GTP-17-1361

DOI: https://doi.org/10.1115/1.4038155

Published Online: November 21, 2017

View Article titled, Resistant Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series: Development and Field Validation

Topics: Gas turbines, Robustness, Time series, Contamination, Temperature, Sensors, Reliability, Noise (Sound)

Journal Articles

Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series

Giuseppe Fabio Ceschini, Nicolò Gatta, Mauro Venturini, Thomas Hubauer, Alin Murarasu

J. Eng. Gas Turbines Power. March 2018, 140(3): 032401.

Paper No: GTP-17-1359

DOI: https://doi.org/10.1115/1.4037963

Published Online: October 25, 2017

View Article titled, Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series

Topics: Gas turbines, Sensors, Time series, Transients (Dynamics), Steady state

Journal citation

NARROW

Experimental Investigation of Combustion Dynamics in a High-Pressure Liquid-Fueled Swirl Combustor

Convolutional Neural Network Denoising Auto-Encoders for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering

Statistical Rule Extraction for Gas Turbine Trip Prediction

From Pressure Time Series Data to Flame Transfer Functions: A Framework for Perfectly Premixed Swirling Flames

Experimental Investigation of Interactions Between Two Closely Spaced Azimuthal Modes in a Multinozzle Can Combustor

Effect of Counter- and Co-Swirl on Low-Frequency Combustion Instabilities of Jet A-1 Spray Flames

Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

Delay Identification in Thermoacoustics

Detection of Machinery Failure Signs From Big Time-Series Data Obtained by Flow Simulation of Intermediate-Pressure Steam Turbines

Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behavior

Protection and Identification of Thermoacoustic Azimuthal Modes

Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series

A Probabilistic Uncertainty Estimation Method for Turbulence Parameters Measured by Hot-Wire Anemometry in Short-Duration Wind Tunnels

Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models

Direct Assessment of the Acoustic Scattering Matrix of a Turbulent Swirl Combustor by Combining System Identification, Large Eddy Simulation and Analytical Approaches

Capability of the Bayesian Forecasting Method to Predict Field Time Series

Quantification and Propagation of Uncertainties in Identification of Flame Impulse Response for Thermoacoustic Stability Analysis

Fractal Characteristics of Combustion Noise

Resistant Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series: Development and Field Validation

Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series

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