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Journal Articles

Fault Detection on Short-Haul or Highly Dynamic Flights Using Transient Flight Segments

Tihomir Varchev, Jürgen Mathes, Christian Koch, Stephan Staudacher

Publisher: ASME

J. Eng. Gas Turbines Power. January 2025, 147(1): 011021.

Paper No: GTP-24-1404

https://doi.org/10.1115/1.4066251

Published Online: September 19, 2024

View Article titled, Fault Detection on Short-Haul or Highly Dynamic Flights Using Transient Flight Segments

Topics: Engines, Flaw detection, Flight, Transients (Dynamics), Wavelets, Sensors, Convolutional neural networks, Support vector machines

Journal Articles

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini

Publisher: ASME

J. Eng. Gas Turbines Power. February 2023, 145(2): 021009.

Paper No: GTP-22-1319

https://doi.org/10.1115/1.4055905

Published Online: November 28, 2022

View Article titled, Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Topics: Gas turbines, Machine learning, Reliability, Support vector machines, Artificial neural networks, Testing, Algorithms, Probability

Journal Articles

Efficient Optimization Design of Vortex Generators in a Highly Loaded Compressor Stator

Jiabin Li, Weiwei Li, Lucheng Ji

Publisher: ASME

J. Eng. Gas Turbines Power. June 2022, 144(6): 061002.

Paper No: GTP-21-1533

https://doi.org/10.1115/1.4053707

Published Online: March 11, 2022

View Article titled, Efficient Optimization Design of Vortex Generators in a Highly Loaded Compressor Stator

Topics: Compressors, Design, Flow (Dynamics), Generators, Optimization, Pressure, Stators, Support vector machines, Vortices, Computational fluid dynamics

Journal Articles

Recuperator Performance Assessment in Humidified Micro Gas Turbine Applications Using Experimental Data Extended With Preliminary Support Vector Regression Model Analysis

Ward De Paepe, Alessio Pappa, Diederik Coppitters, Marina Montero Carrero, Panagiotis Tsirikoglou, Francesco Contino

Publisher: ASME

J. Eng. Gas Turbines Power. July 2021, 143(7): 071030.

Paper No: GTP-20-1547

https://doi.org/10.1115/1.4049266

Published Online: March 31, 2021

View Article titled, Recuperator Performance Assessment in Humidified Micro Gas Turbine Applications Using Experimental Data Extended With Preliminary Support Vector Regression Model Analysis

Topics: Compressors, Cycles, Flow (Dynamics), Water, Support vector machines, Electromagnetic scattering, Temperature, Pressure

Journal Articles

Design Optimization of a Blended Blade and Endwall in a Compressor Cascade

Jiabin Li, Lucheng Ji, Ling Zhou

Publisher: ASME

J. Eng. Gas Turbines Power. February 2020, 142(2): 021003.

Paper No: GTP-19-1620

https://doi.org/10.1115/1.4045586

Published Online: January 6, 2020

View Article titled, Design Optimization of a Blended Blade and Endwall in a Compressor Cascade

Topics: Blades, Cascades (Fluid dynamics), Design, Flow (Dynamics), Optimization, Pressure, Support vector machines, Corners (Structural elements), Compressors

Journal Articles

Automatic Detection of Defects in a Swirl Burner Array Through an Exhaust Jet Pattern Analysis

Ulrich Hartmann, Christoph Hennecke, Friedrich Dinkelacker, Joerg R. Seume

Publisher: ASME

J. Eng. Gas Turbines Power. March 2017, 139(3): 031504.

Paper No: GTP-16-1283

https://doi.org/10.1115/1.4034449

Published Online: September 27, 2016

View Article titled, Automatic Detection of Defects in a Swirl Burner Array Through an Exhaust Jet Pattern Analysis

Topics: Algorithms, Combustion chambers, Density, Exhaust systems, Support vector machines, Pattern recognition, Jet engines, Engines

Journal Articles

A New Gas Path Fault Diagnostic Method of Gas Turbine Based on Support Vector Machine

Dengji Zhou, Huisheng Zhang, Shilie Weng

Publisher: ASME

J. Eng. Gas Turbines Power. October 2015, 137(10): 102605.

Paper No: GTP-14-1687

https://doi.org/10.1115/1.4030277

Published Online: October 1, 2015

View Article titled, A New Gas Path Fault Diagnostic Method of Gas Turbine Based on Support Vector Machine

Topics: Gas turbines, Support vector machines

Journal Articles

Data Visualization, Data Reduction and Classifier Fusion for Intelligent Fault Diagnosis in Gas Turbine Engines

William Donat, Kihoon Choi, Woosun An, Satnam Singh, Krishna Pattipati

Publisher: ASME

J. Eng. Gas Turbines Power. July 2008, 130(4): 041602.

https://doi.org/10.1115/1.2838993

Published Online: April 29, 2008

View Article titled, Data Visualization, Data Reduction and Classifier Fusion for Intelligent Fault Diagnosis in Gas Turbine Engines

Topics: Algorithms, Architecture, Artificial neural networks, Engines, Fault diagnosis, Gas turbines, Physics, Principal component analysis, Probability, Self-organization

Journal citation

NARROW

Fault Detection on Short-Haul or Highly Dynamic Flights Using Transient Flight Segments

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Efficient Optimization Design of Vortex Generators in a Highly Loaded Compressor Stator

Recuperator Performance Assessment in Humidified Micro Gas Turbine Applications Using Experimental Data Extended With Preliminary Support Vector Regression Model Analysis

Design Optimization of a Blended Blade and Endwall in a Compressor Cascade

Automatic Detection of Defects in a Swirl Burner Array Through an Exhaust Jet Pattern Analysis

A New Gas Path Fault Diagnostic Method of Gas Turbine Based on Support Vector Machine

Data Visualization, Data Reduction and Classifier Fusion for Intelligent Fault Diagnosis in Gas Turbine Engines

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