Possibilities for work In the area of: GAS TURBINE CONDITION MONITORING AND FAULT DIAGNOSIS 1

Transcription

1 NATIONAL TECHNICAL UNIVERSITY OF ATHENS LABORATORY OF THERMAL TURBOMACHINES Possibilities for work In the area of: GAS TURBINE CONDITION MONITORING AND FAULT DIAGNOSIS Contents. EXISTING EXPERIENCE- PAST ACHIEVEMENTS 2. PUBLICATIONS 3. CONDITION MONITORING, FAULT DIAGNOSIS AND PERFORMANCE 4. CONDITION MONITORING, FAULT DIAGNOSIS WITH FAST RESPONSE DATA. EXISTING EXPERIENCE- PAST ACHIEVEMENTS In the field of Gas Turbine Fault Diagnosis, Condition Monitoring and Performance A team performing research in the field of Gas Turbine Condition Monitoring and Fault diagnosis has been active in the Lab of Thermal Turbomachines of the National Technical University of Athens (LTT/NTUA), for the past fifteen years. Research has been performed in different areas, resulting in new findings and establishment of new methods. The work has advanced along two different directions, namely, development of: Techniques using aerothermodynamic data (e.g. pressure, temperature) Techniques using fast response measurement data (e.g. vibration, sound) The working experience of the group can be summarized as follows: - Techniques for engine condition assessment and fault diagnostics have been developed, based on (a) aerothermodynamic methods and (b) methods based on fast response measurements. The methods of the second category have demonstrated the possibility of detecting and identifying faults of very small size, which would have remained unnoticed by conventional techniques, but can nevertheless evolve to catastrophic failures. - The group possesses know-how for performing measurements for diagnostic purposes and a wide range of instrumentation is available at LTT/NTUA. Measurements have been performed on several industrial Gas Turbines, as well as in turbomachinery components tested in the Lab. - Experience exists in setting-up diagnostic systems. The group has developed diagnostic systems for gas turbines operating in the field: two systems for utility gas turbines (for info see and ), one for a gas turbine in a Refinery (for info see ), and one for a jet engine test cell. The group has participated in several EUROPEAN projects, in the field of Gas Turbine performance and diagnostics: BRITE Contract RI-B-59: Noise/Vibration Imaging Techniques for Gas Turbines Investigations ( ). BRITE Contract BREU-506: Gas Turbine Health Monitoring Demonstrator, BRITE Contract BRE2-CT : Turbo-electric Taxi with Low Environmental Impact ( ) Project ESPRIT HIPERCOSME, (996). OBIDICOTE Οn Board Identification Diagnostics and Control of Turbine Engines, Contract BRPR CT ( ) TATEM-Technologies And Techniques For New Maintenance Concepts (Integrated Project ) VIVACE, VIVACE-Value Improvement Through A Virtual Aeronautical Collaborative Enterprise, (Intergrated Project ) AEROTEST : Remote Sensing Technique For Aeroengine Emission Certification And Monitoring (Specific Targeted Project ) Contact: Kostas Mathioudakis, Professor Lab of Thermal Turbomachines, National Technical University of Athens Iroon Polytechniou 9, Athens 5773, GREECE Tel: , Fax: kmathiou@central.ntua.gr VISIT OUR WEB SITE :

2 A picture of the achievements of the research performed can be obtained from publications in this domain (see attached list), which reflect a large part of the scientific achievements of the group. The research work of the group has received international appreciation, as can be seen from a large number of citations to its publications. The following international distinctions have been awarded to works or members of the group: Best paper award in Controls and Diagnostics, 992 ASME Internatiοnal TURBΟ-EXPΟ. The annual Outstanding Service Award of the Controls and Diagnostics Committee of the ASME for 2002, was granted to a member of the group. Best paper award in Controls and Diagnostics, 2002 ASME Internatiοnal TURBΟ-EXPΟ. Best paper award in Education, 2003 ASME Internatiοnal TURBΟ-EXPΟ. PE Publishing Award for the best paper published in the ImechE Journal of Power and Energy, Current research activities are oriented towards the advancement of diagnostic techniques, with the aim of increasing reliability of automated procedures and reduction of the impact of uncertainty factors introduced by the industrial reality of gas turbine operation in the field. Sample areas of activity are: Development of probabilistic methods for gas turbine diagnostics Advanced diagnostics using Fusion methods Non-linear methods for on-board jet engine diagnostics Modelling of humidity and water injection effects in gas turbines Real time engine models and their exploitation for diagnostics Integration of developed methods into industrial diagnostic systems 2

3 2. PUBLICATIONS 2.. Gas Turbine Performance Diagnostics. STAMATIS A.,PAPAILIOU K., Discrete Operating Conditions Gas Path Analysis.Conference Proceedings on Engine Condition Monitoring-Technology and Experience,AGARD CP No STAMATIS,A., MATHIOUDAKIS,K., BERIOS,K., PAPAILIOU,K.D., "Jet Engine Fault Detection with Differential Gas Path Analysis at Discrete Operating Points". Proceedings of the 9th International Symposium on Air Breathing Engines (ISABE), Athens, Greece, Sep. 989.Also Journal of Propulsion and Power, AIAA,Vol 7, No 6, Nov-Dec 99, pp MATHIOUDAKIS,K., STAMATIS,A., LOUKIS,E., PAPAILIOU,K.D., "Computer Modelling and Data Processing Methods. An Essential Part of Jet Engine Condition Monitoring and Fault Diagnosis". Proceedings of the 5th International Symposium on Aircraft Integrated Monitoring Systems, RWTH, Aachen, Germany, Sept. 2-4, 989, pp STAMATIS,A., MATHIOUDAKIS,K., SMITH,M., PAPAILIOU,K.D., 990, "Gas Turbine Component Fault Identification by Means of Adaptive Performance Modelling". ASME Paper 90-GT-376, 35th International Gas Turbine and Aeroengine Congress and Exposition, Brussels, Belgium, June 0-4, STAMATIS A., MATHIOUDAKIS K., PAPAILIOU K.D.: "Optimal Measurements and Health Indices Selection for Gas Turbine Performance Status and Fault Diagnosis". Journal of Engineering for Gas Turbine and Power, ASME, vol.4, No 2, April 992, pp.209? MATHIOUDAKIS K., STAMATIS A., "Compressor Fault Identification From Overall Performance Data Based on Adaptive Stage Stacking", Journal of Engineering for Gas Turbine and Power, ASME, vol.6, No, January 994, pp LOUKIS E., MATHIOUDAKIS K., PAPAILIOU K.: "A Methodology for the Design of Automated Gas Turbine Diagnostic Systems", ASME paper 93-GT-47, 38th ASME International Gas Turbine and Aeroengine Congress and Exposition, May 993, Cininati OH, USA. 8. MATHIOUDAKIS K., TSALAVOUTAS A., 995, "Identification of Mechanical Alterations from their Effect on Performance of a Radial Compressor", paper ASME 95-GT-62, 40th ASME International Gas Turbine and Aeroengine Congress and Exposition, June 995, Houston, TX, USA, 9. TSALAVOUTAS, K. MATHIOUDAKIS, M.K. SMITH: "Processing of circumferential temperature distributions for the detection of gas turbine burner malfunctions", paper ASME 96- GT-03, 4th ASME International Gas Turbine and Aeroengine Congress and Exposition, June 996, Birmingham, UK. 0. STAMATIS A., K. D. PAPAILIOU, 'Using HPC in Gas Turbine Blade Fault Diagnosis', "HPCN Europe 97" Conference Proceedings, Vienna April 997 (Lecture Notes in Computer Science, Springer). STAMATIS A., K. MATHIOUDAKIS, K. PAPAILIOU, 999,Assessing the Effects of Deposits on Turbine Blading in a Twin Shaft Gas Turbine, paper 99-GT-362, 44th ASME International Gas Turbine and Aeroengine Congress and Exposition, June , Indianapolis, Indiana, USA 2. MATHIOUDAKIS K., A. STAMATIS, E. BONATAKI, 999,Diagnosing the Sources of Overall Performance Deterioration in CCGT, 99-GT-364, 44th ASME International Gas Turbine and Aeroengine Congress and Exposition, June , Indianapolis, Indiana, USA 3. TSALAVOUTAS, K. MATHIOUDAKIS, A.STAMATIS, M. SMITH, Identifying Faults in the Variable Geometry System of a Gas Turbine Compressor, 2000-GT-0033, The 45th ASME International Gas Turbine & Aeroengine Technical Congress, MUNICH, GERMANY, 8- May TSALAVOUTAS,N. ARETAKIS, A. STAMATIS, K. MATHIOUDAKIS, Combining Advanced Data Analysis Methods for the Constitution of an Integrated Gas Turbine Condition Monitoring ans Diagnostic System, 2000-GT-0034, The 45th ASME International Gas Turbine & Aeroengine Technical Congress, MUNICH, GERMANY, 8- May A.POULIEZOS, G.STAVRAKAKIS, K.MATHIOUDAKIS, On-Line Leak Monitoring in Fluid Pumping Systems. International Journal of Modelling and simulation, Vol 20, No,3, 2000, pp TSALAVOUTAS A., MATHIOUDAKIS K., STAMATIS A., SMITH M., Identifying Faults in the Variable Geometry System of a Gas Turbine Compressor, ASME Transactions, Journal of Turbomachinery, Vol.23, January 200, pp K. MATHIOUDAKIS, A. TSALAVOUTAS, Uncertainty Reduction in Gas Turbine Performance Diagnostics by Accounting for Humidity Effects, paper ASME 200-GT-000,The 46th ASME International Gas Turbine & Aeroengine Technical Congress, New Orleans, Louisiana, USA, June 4-7, PH. KAMBOUKOS, P. OIKONOMOU, A. STAMATIS, K. MATHIOUDAKIS Optimizing Diagnostic Effectivness Of Mixed Turbofans By Means Of Adaptive Modelling And Choice Of Appropriate Monitoring Parameters. AVT Symposium on "Monitoring and Management of Gas Turbine Fleets for Extended Life and Reduced Costs", Manchester, UK, 8- October MATHIOUDAKIS K., STAMATIS A., BONATAKI E., Allocating The causes of Performance Deterioration in CCGT Plants. ASME Journal of Engineering for Gas Turbines and Power, Vol 24, April 2002, pp K.MATHIOUDAKIS, PH. KAMBOUKOS, A.STAMATIS, Turbofan Performance Deterioration Tracking Using Non-Linear Models And Optimization Techniques. ASME Turbo Expo 2002, paper GT N. ARETAKIS, K. MATHIOUDAKIS, A. STAMATIS,,Non- Linear Engine Component Fault Diagnosis From A Limited Number Of Measurements Using A Combinatorial Approach. ASME Turbo Expo 2002, paper GT K. MATHIOUDAKIS, N. ARETAKIS, A. TSALAVOUTAS, Increasing Diagnostic Effectiveness By Inclusion Of Fuel Composition And Water Injection Effects, ASME Turbo Expo 2002, papegt N. Aretakis, K. Mathioudakis, A. Stamatis,,Non-Linear Engine Component Fault Diagnosis From A Limited Number Of Measurements Using A Combinatorial Approach. Journal of Engineering for Gas Turbines and Power--July 2003, Vol 25, 3, pp Ph. Kamboukos, K. Mathioudakis, Optimization Techniques in Gas Turbine Fault Diagnosis, in ERCOFTAC DESIGN OPTIMIZATION METHODS AND APPLICATIONS, Athens, March3-April2,

4 25. Mathioudakis K., Kamboukos Ph., "Assessment of the Effectiveness of Gas Path Diagnostic Schemes", paper GT to appear in Journal of Engineering for Gas Turbines and Power, ASME. 26. P. Kamboukos, K. Mathioudakis, Comparison Of Linear And Non-Linear Gas Turbine Performance Diagnostics, ASME Turbo Expo 2002, GT to appear in Journal of Engineering for Gas Turbines and Power, ASME. 27. Ph. Kamboukos, A. Stamatis, K. Mathioudakis, "Gas turbine component fault detection from a limited number of measurements", Proc. Instn Mech. Engrs Vol. 28, Dec 2004, Part A: J. Power and Energy, pp (PE Publishing Award for the best paper published in the journal in 2004) 28. Mathioudakis K, Aretakis N., Tsalavoutas A., "Diagnostic methods and their application for the efficient management of gas turbines", st Pan-Hellenic Congress of Mechanical engineers, 2005, Athens (text in Greek) 29. Romessis C., Kamboukos Ph., Mathioudakis K., "The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics" ASME Paper GT Kamboukos Ph., Mathioudakis K., "Multipoint Non-Linear Method for Enhanced Component and Sensor Malfunction Diagnosis" ASME Paper GT Mathioudakis K., Aretakis N., Yfantis E., "A Possibility for on-board Training for Marine Gas Turbine Performance Monitoring and Diagnostics" Conference Proceedings MECON 2006, 29 August- September 2006 Hamburg. 32. Kamboukos Ph., Mathioudakis K., "Turbofan Engine Health Assessment by Combining Steady and Transient State Aerothermal Data" Proceedings of the 7th European Conference on Turbomachinery, Fluid Dynamics and Thermodynamics, March 5-9, Athens, Greece. 33. Romessis C., Mathioudakis K., "Detection of Gas Turbines Malfunctions From Emission Concentration Distributions" ASME Paper GT Gas Turbine Performance Modelling. STAMATIS,A., MATHIOUDAKIS,K., PAPAILIOU,K.D., 989a, "Adaptive Simulation of Gas Turbine Performance". Journal of Engineering for Gas Turbine and Power, ASME, vol.2, No 2, April 990, pp (ASME Paper 89-GT-205) 2. B.LAMBIRIS, K.MATHIOUDAKIS, A.STAMATIS, K.PAPAILIOU, "Adaptive Modelling of Jet Engine Performance With Application to Condition Monitoring". Proceedings of the 0th International Symposium on Air Breathing Engines (ISABE), Notingham, UK, Sep. 99. Also Journal of Propulsion and Power, AIAA, Vol 0, No 6, Nov-Dec 994, pp TSALAVOUTAS A., A.STAMATIS, K.MATHIOUDAKIS: "Derivation of compressor stage characteristics, for accurate overall performance map prediction", ASME paper 94-GT-372, 39th ASME International Gas Turbine and Aeroengine Congress and Exposition, June 994, Hague, Netherlands. 4. SIEROS G., A. STAMATIS, K. MATHIOUDAKIS, "Analytical representation of jet engine turbomachinery components characteristics for use in engine performance modelling and diagnosis", XII ISABE, Melbourne, Australia, Sept 0-5, SIEROS G., A. STAMATIS, K. MATHIOUDAKIS, Jet Engine Component Maps for Performance Modeling and Diagnostics AIAA Journal of Propulsion and Power, Vol 3, No5, September-October MATHIOUDAKIS K., STAMATIS A., TSALAVOUTAS A., ARETAKIS N., 999, 'Performance analysis of industrial gas turbines for engine condition monitoring', presented at: First International Conference On Engineering Thermophysics, Beijing, China, August 8-2, 999 (ICET '99). 7. Tsalavoutas Α., S. Pothos, K. Mathioudakis, A. Stamatis, 999, "Monitoring the Performance of a Twin-Shaft Ship Propulsion Turbine by Means of Adaptive Modeling", RTO Symposium on Gas Turbine Operation and Technology for Land, Sea and Air Propulsion and Power Systems, Ottawa, Canada, 8-2 October K. MATHIOUDAKIS, A. TSALAVOUTAS, Effects Of Anti- Icing System Operation On Gas Turbine Performance And Monitoring, paper ASME 200-GT-02,The 46th ASME International Gas Turbine & Aeroengine Technical Congress, New Orleans, Louisiana, USA, June 4-7, A.STAMATIS, K.MATHIOUDAKIS, J. RUIZ, B.CURNOCK, Real Time Engine Model Implementation For Adaptive Control & Performance Monitoring Of Large Civil Turbofans, paper ASME 200-GT-0362,The 46th ASME International Gas Turbine & Aeroengine Technical Congress, New Orleans, Louisiana, USA, June 4-7, STAMATIS,PH. KAMBOUKOS, N. ARETAKIS, K. MATHIOUDAKIS, On Board Adaptive Models: A General Framework and Implementation Aspects", ASME Turbo Expo 2002, paper GT ,. J. ROUMELIOTIS, N.ARETAKIS, K. MATHIOUDAKIS, Performance Analysis Of Twin-Spool Water Injected Gas Turbines Using Adaptive Modeling, ASME Turbo Expo 2003, GT ALEXIOU A., MATHIOUDAKIS K., "Development of Gas Turbine Performance Models Using a Generic Simulation Tool", ASME Paper GT Roumeliotis I., Mathioudakis K., "Evaluation of Interstage Water Injection Effect on Compressor And Engine Performance", ASME Paper GT Stamatis A., Mathioudakis K., "The Influence Of Heat Transfer Effects On Turbine Performance Characteristics" ASME Paper GT Roumeliotis I., Mathioudakis K., "Water Injection Effects on Compressor Stage Operation", ASME Paper GT Alexiou A., Mathioudakis K., "Gas Turbine Engine Performance Model Applications Using An Object-Oriented Simulation Tool", ASME Paper GT Roumeliotis I., Mathioudakis K., "Experimental Analysis of Wet Compression in Axial Compressor Stage" Proceedings of the 7th European Conference on Turbomachinery, Fluid Dynamics and Thermodynamics, March 5-9, Athens, Greece. 8. Tsalavoutas A., Kelaidis M., Thoma N., Mathioudakis K., "Correlations Adaptation for Optimal Emissions Prediction" ASME Paper GT Alexiou A., Baalbergen E., Mathioudakis K., Kogenhop O., Arendsen P., "Advanced Capabilities for Gas Turbine Engine Performance Simulations" ASME Paper GT Vibration Diagnostics of Gas Turbine Malfunctions. MATHIOUDAKIS,K., LOUKIS,E., PAPAILIOU,K., "Casing Vibration and Gas Turbine Operating Conditions". Journal of Engineering for Gas Turbine and Power, ASME, vol.2, No 4, Oct. 990, pp (ASME Paper 89-GT-78). 4

5 2. MATHIOUDAKIS,K., PAPATHANASIOU,A.,LOUKIS,E., PAPAILIOU,K.D., "Fast Response Wall Pressure Measurement as a Means of Gas Turbine Blade Fault Identification". Journal of Gas Turbines and Power, April LOUKIS E., WETTA P., MATHIOUDAKIS K., PAPATHANASIOU A.,PAPAILIOU K.D. : "Combination of Different Unsteady Quality Measurements for Gas Turbine Blade Fault Diagnosis". ASME Paper 9-GT-20, 36th ASME International Gas Turbine and Aeroengine Congress, June 3-6, 99, Orlando, Florida, USA. (Best paper award, of the Controls and Diagnostics Committee of ASME) 4. DEDOUSSIS V., MATHIOUDAKIS K., PAPAILIOU K.: "Numerical Simulation of Blades Fault Signatures from Unsteady Wall Pressure Signals", ASME paper 94-GT-289, 39th ASME International Gas Turbine and Aeroengine Congress and Exposition, June 994, Hague, Netherlands. Accepted for publication in Journal of Engineering for Gas Turbine and Power, ASME. 5. MATHIOUDAKIS K.: Diagnostic Techniques based on Fast Response Measurements. In 'Measurement Techniques', VKI Lectures Series 995-2, Measurement Techniques 6. B.BALIGAND, B.GARNIER, K.MATHIOUDAKIS, M.SMITH: "Gas Turbine Health Monitoring Demonstrator", 2nd International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques - SFM/IMEKO/SFA - SEMLIS, 0-2 Oct 995, pp N. ARETAKIS, K. MATHIOUDAKIS: "Radial Compressor Fault Identification using Dynamic Measurement Data", paper ASME 96-GT-02, 4th ASME International Gas Turbine and Aeroengine Congress and Exposition, June 996, Birmingham, UK. 8. ARETAKIS N., K.MATHIOUDAKIS: "Wavelet analysis for gas turbine fault diagnostics", paper ASME 96-GT-343, 4th ASME International Gas Turbine and Aeroengine Congress and Exposition, June 996, Birmingham, UK. 9. STAMATIS A., N. ARETAKIS, K. MATHIOUDAKIS: " Blade fault recognition Based on Signal Processing and Adaptive Fluid Dynamic Modelling", Paper ASME 97-GT-97, 42nd ASME International Gas Turbine and Aeroengine Congress and Exposition, June , Orlando, Florida USA. 0. ARETAKIS N., K. MATHIOUDAKIS, V. DEDOUSSIS: "Derivation of signatures for faults in gas turbine compressor blading", Control Engineering Practice, 6 (998), pp (also IFAC symposium on fault detection, supervision and safety for technical processes, SAFEPROCESS'97, Aug , 997, Kingston Upon Hall, UK).. N.Aretakis, K. Mathioudakis, M. Kefalakis, K. D. Papailiou, Turbocharger Unstable Operation Diagnosis Using Vibroacoustic Measurements, Journal of Engineering for Gas Turbines and Power, ASME. Vol 26, July (also ASME paper GT ) 2.4. Artificial Intelligence Methods in Gas Turbine Performance and Diagnostics. LOUKIS E., MATHIOUDAKIS K., PAPAILIOU K.D.:"A Procedure for Automated Gas Turbine Blade Fault Identification Based on Spectral Pattern Analysis". Journal of Engineering for Gas Turbine and Power, ASME, vol.4, No 2, April 992, pp.20? LOUKIS E., MATHIOUDAKIS K., PAPAILIOU K.D.,"Optimizing Automated Gas Turbine Fault Detection Using Statistical Pattern Recognition", Journal of Engineering for Gas Turbine and Power, ASME, vol.6, No, January 994, pp KANELOPOULOS K., A. STAMATIS, K. MATHIOUDAKIS: "Incorporating Neural Networks into Gas Turbine Performance Diagnostics", paper ASME 97-GT-035, 42nd ASME International Gas Turbine and Aeroengine Congress and Exposition, June , Orlando, Florida USA. 4. ARETAKIS N., K. MATHIOUDAKIS: " Classification of Radial Compressor Faults using pattern recognition techniques", Control Engineering Practice, 6 (998), pp (IFAC symposium on fault detection, supervision and safety for technical processes, SAFEPROCESS'97, Aug , 997, Kingston Upon Hall, UK). 5. C. ROMESSIS, A. STAMATIS, K. MATHIOUDAKIS, A Parametric Investigation Of The Diagnostic Ability Of Probabilistic Neural Networks On Turbofan Engines, paper ASME 200-GT-00,The 46th ASME International Gas Turbine & Aeroengine Technical Congress, New Orleans, Louisiana, USA, June 4-7, ROMESIS C., STAMATIS A., MATHIOUDAKIS K.:"Setting up a belief network for turbofan diagnosis with the aid of an engine performance model", 5th International Symposium on Air Breathing Engines, Sept 3-7, 200, Bangalore, India, ISABE paper 200, Nr C. ROMESSIS, K. MATHIOUDAKIS,Setting Up Of A Probabilistic Neural Network For Sensor Fault Detection Including Operation With Component Faults. ASME Turbo Expo 2002, paper GT C. Romessis, K. Mathioudakis, Setting Up Of a Probabilistic Neural Network for Sensor Fault Detection Including Operation with Component Faults Journal of Engineering for Gas Turbines and Power--July 2003, Vol 25, 3, pp Romessis C., Mathioudakis K., "Bayesian Network Approach for Gas Path Fault Diagnosis", Αποδεκτό για δημοσίευση στο Journal of Engineering for Gas Turbines and Power, ASME. Επιστολή αποδοχής (επίσης paper GT ) 0. P. Dewallef, C. Romessis, O. Leonard, K. Mathioudakis, "Combining Classification Techniques With Kalman Filters For Aircraft Engine Diagnostics" paper GT ). N. Aretakis, K. Mathioudakis and A. Stamatis, Identification of sensor faults on turbofan engines using pattern recognition techniques, Control Engineering Practice, July 2004, Vol 2/7 pp K. Mathioudakis, C. Romessis, Probabilistic Neural Networks For Validation Of On-Board Jet Engine Data, Proceedings Of The Institution of Mechanical Engineers, PART G, Part G Journal of Aerospace Engineering, Volume: 28 Page: 59-72, Jan Romessis C., Mathioudakis K., "Implementation of Stochastic Methods For Industrial Gas Turbine Fault Diagnosis", ASME Paper GT Kyriazis A., Aretakis N., Mathioudakis K., "Gas Turbine Fault Diagnosis From Fast Response Data Using Probabilistic Methods and Information Fusion", ASME Paper GT Romessis C., Kyriazis A., Mathioudakis K., "Fusion of Gas Turbines Diagnostic Inference: The Dempster-Schafer Approach" ASME Paper GT Kyriazis A., Mathioudakis K., "Gas Turbine Fault Diagnosis Using Fuzzy-based Decision Fusion" ISABE Paper ISABE

6 3. CONDITION MONITORING, FAULT DIAGNOSIS AND PERFORMANCE -Condition assessment and fault diagnostics based on aero-thermodynamic methods -Overall and component deterioration tracking. Individual fault detection /identification. -Probabilistic methods for gas turbine diagnostics, neural networks, belief networks -Non-linear methods for on-board jet engine diagnostics. Minimize the needed sensors -Steady state, transient performance modelling, multispool configurations. Shaft power gas turbines, jet engines. Real time models, exploitation for controls and diagnostics -Modelling of humidity and water /steam injection effects -Know-how for performing diagnostic measurements - wide range of instrumentation available Sample Case: Detection of Hot Section Faults using Adaptive Modelling The faults HPT deposits LPT Deposits % df df3 df5 The Diagnosis df2 df4 df6 06/996 /996 Healthy Faulty 6

7 4. CONDITION MONITORING, FAULT DIAGNOSIS WITH FAST RESPONSE DATA -Fault detection using fast response measurement data. -Vibration, sound, internal unsteady pressure, shaft displacement. - Possibility of detecting and identifying faults of very small size. -Signal processing for feature extraction -Automated fault identification (Artificial Intelligence methods: pattern recognition, neural nets) -Fluid dynamic modelling for extended blade fault diagnostic ability. -Know-how for performing diagnostic measurements, instrumentation available. Sample Case: Detection of Twisted Compressor Blade Fault (TORNADO industrial Gas Turbine) The fault f The Diagnosis 7 Ε π ί πεδ ο D b Δ ι α φ M Χρόνος Συχνότητα (Hz) Wavelet Map Spectral Signature 7