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Proceedings Papers

A Parametric Investigation of the Diagnostic Ability of Probabilistic Neural Networks on Turbofan Engines

C. Romessis, A. Stamatis, K. Mathioudakis
Proc. ASME. GT2001, Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; IGTI Scholar Award, V004T04A004, June 4–7, 2001
Publisher: American Society of Mechanical Engineers
Paper No: 2001-GT-0011
https://doi.org/10.1115/2001-GT-0011
View Paper titled, A Parametric Investigation of the Diagnostic Ability of Probabilistic Neural Networks on Turbofan Engines
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Topics: Artificial neural networks, Engines, Turbofans, Architecture, Gas turbines, Noise (Sound)
Proceedings Papers

Fusion of Gas Turbines Diagnostic Inference: The Dempster-Schafer Approach

C. Romessis, A. Kyriazis, K. Mathioudakis
Proc. ASME. GT2007, Volume 1: Turbo Expo 2007, 505-513, May 14–17, 2007
Publisher: American Society of Mechanical Engineers
Paper No: GT2007-27043
https://doi.org/10.1115/GT2007-27043
View Paper titled, Fusion of Gas Turbines Diagnostic Inference: The Dempster-Schafer Approach
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Topics: Gas turbines, Artificial neural networks, Commercial air transport, Compressors, Engines, Turbofans
Proceedings Papers

Detection of Gas Turbines Malfunctions From Emission Concentration Distributions

C. Romessis, K. Mathioudakis
Proc. ASME. GT2007, Volume 1: Turbo Expo 2007, 515-522, May 14–17, 2007
Publisher: American Society of Mechanical Engineers
Paper No: GT2007-27107
https://doi.org/10.1115/GT2007-27107
View Paper titled, Detection of Gas Turbines Malfunctions From Emission Concentration Distributions
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Topics: Emissions, Gas turbines, Engines, Artificial neural networks, Exhaust systems, Fault diagnosis, Turbofans
Proceedings Papers

Setting Up of a Probabilistic Neural Network for Sensor Fault Detection Including Operation With Component Faults

C. Romessis, K. Mathioudakis
Proc. ASME. GT2002, Volume 2: Turbo Expo 2002, Parts A and B, 101-108, June 3–6, 2002
Publisher: American Society of Mechanical Engineers
Paper No: GT2002-30030
https://doi.org/10.1115/GT2002-30030
View Paper titled, Setting Up of a Probabilistic Neural Network for Sensor Fault Detection Including Operation With Component Faults
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Topics: Artificial neural networks, Flaw detection, Sensors, Engines, Gas turbines, Noise (Sound), Testing
Proceedings Papers

Bayesian Network Approach for Gas Path Fault Diagnosis

C. Romessis, K. Mathioudakis
Proc. ASME. GT2004, Volume 2: Turbo Expo 2004, 691-699, June 14–17, 2004
Publisher: American Society of Mechanical Engineers
Paper No: GT2004-53801
https://doi.org/10.1115/GT2004-53801
View Paper titled, Bayesian Network Approach for Gas Path Fault Diagnosis
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Topics: Fault diagnosis, Engines, Flight, Gas turbines, Jet engines, Probability, Turbofans
Proceedings Papers

Combining Classification Techniques With Kalman Filters for Aircraft Engine Diagnostics

P. Dewallef, C. Romessis, O. Le´onard, K. Mathioudakis
Proc. ASME. GT2004, Volume 2: Turbo Expo 2004, 595-603, June 14–17, 2004
Publisher: American Society of Mechanical Engineers
Paper No: GT2004-53541
https://doi.org/10.1115/GT2004-53541
View Paper titled, Combining Classification Techniques With Kalman Filters for Aircraft Engine Diagnostics
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Topics: Aircraft engines, Kalman filters, Algorithms, Turbofans
Proceedings Papers

Implementation of Stochastic Methods for Industrial Gas Turbine Fault Diagnosis

C. Romessis, K. Mathioudakis
Proc. ASME. GT2005, Volume 1: Turbo Expo 2005, 723-730, June 6–9, 2005
Publisher: American Society of Mechanical Engineers
Paper No: GT2005-68739
https://doi.org/10.1115/GT2005-68739
View Paper titled, Implementation of Stochastic Methods for Industrial Gas Turbine Fault Diagnosis
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Topics: Fault diagnosis, Industrial gases, Turbines, Sensors, Artificial neural networks, Compressors, Gas turbines
Proceedings Papers

The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics

C. Romessis, Ph. Kamboukos, K. Mathioudakis
Proc. ASME. GT2006, Volume 2: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Controls, Diagnostics and Instrumentation; Environmental and Regulatory Affairs, 681-689, May 8–11, 2006
Publisher: American Society of Mechanical Engineers
Paper No: GT2006-90619
https://doi.org/10.1115/GT2006-90619
View Paper titled, The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics
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Topics: Fault diagnosis, Jet engines
Journal Articles

The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics

C. Romessis, Ph. Kamboukos, K. Mathioudakis
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Technical Papers
J. Eng. Gas Turbines Power. October 2007, 129(4): 970–976.
https://doi.org/10.1115/1.2436548
Published Online: July 28, 2006
View Article titled, The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics
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Topics: Engines, Fault diagnosis, Density, Probability
Journal Articles

Bayesian Network Approach for Gas Path Fault Diagnosis

C. Romessis, K. Mathioudakis
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Technical Papers
J. Eng. Gas Turbines Power. January 2006, 128(1): 64–72.
https://doi.org/10.1115/1.1924536
Published Online: March 1, 2004
View Article titled, Bayesian Network Approach for Gas Path Fault Diagnosis
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Topics: Engines, Fault diagnosis, Probability, Turbofans, Noise (Sound), Flight
Journal Articles

Combining Classification Techniques With Kalman Filters for Aircraft Engine Diagnostics

P. Dewallef, C. Romessis, O. Léonard, K. Mathioudakis
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Technical Papers
J. Eng. Gas Turbines Power. April 2006, 128(2): 281–287.
https://doi.org/10.1115/1.2056507
Published Online: March 1, 2004
View Article titled, Combining Classification Techniques With Kalman Filters for Aircraft Engine Diagnostics
Open the PDF for Combining Classification Techniques With Kalman Filters for Aircraft Engine Diagnostics in another window
Topics: Kalman filters, Algorithms