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11744291145
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Fault detection for gas turbine sensors using I/O dynamic linear models - Methodology of fault code generation
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4243391985
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Application of analytical redundancy to detection of sensor faults on a turbofan engine
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3
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0013327759
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Fault detection and isolation based on dynamic observers applied to gas turbine control sensors
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ASME paper, 98-GT-158
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Simani S., Spina P., Beghelli S., Bettocchi R., Fantuzzi C., 1998, 'Fault detection and isolation based on dynamic observers applied to gas turbine control sensors', ASME paper, 98-GT-158
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A method for the diagnosis of gas turbine sensor faults in presence of measurement noise
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ASME paper, 99-GT-303
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Innovation sequence application to aircraft sensor fault detection: Comparison of checking covariance matrix algorithms
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6
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Model based fuzzy logic sensor fault accommodation
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ASME paper, 97-GT-222
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Fault diagnosis of fleet engines using neural networks
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The use of kalman filter and neural network methodologies in gas turbine performance diagnostics: A comparative study
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ASME paper, 2000-GT-547
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Volponi A.J., de Pold H. Ganguli Ranjan, Daguang Chen, 2000, 'The use of kalman filter and neural network methodologies in gas turbine performance diagnostics: a comparative study', ASME paper, 2000-GT-547
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9
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An evaluation of engine faults diagnostics using artificial neural networks
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ASME paper, 2000-GT-29
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Pong J. L., Ming C. Z., Tzu C. H., Jin Z., 2000, 'An evaluation of engine faults diagnostics using artificial neural networks', ASME paper, 2000-GT-29
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Incorporating neural networks into gas turbine performance diagnostics
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ASME paper, 97-GT-35
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Kanelopoulos K., Stamatis A., Mathioudakis K., 1997, 'Incorporating neural networks into gas turbine performance diagnostics', ASME paper, 97-GT-35
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11
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0013374582
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Using neural networks for sensor validation
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NASA/TM-1998-208483
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Mattern D., Guo T., Graham R., McCoy W., 1998, 'Using neural networks for sensor validation', prepared for the 34th joint propulsion conference, NASA/TM-1998-208483
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Neural networks for the detection of gas turbine sensor faults
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ISABE paper, ISABE 99-7255
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Doke R., Singh R., 1999, 'Neural networks for the detection of gas turbine sensor faults', ISABE paper, ISABE 99-7255
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A fault tolerant flight control system for sensor and actuator failures using neural networks
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15
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An investigation of artificial neural network (ANN) in quantitative fault diagnosis for turbofan engine
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ASME paper, 2000-GT-32
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Bin S., Jin Z., Shaoji Z., 2000, 'An investigation of artificial neural network (ANN) in quantitative fault diagnosis for turbofan engine', ASME paper, 2000-GT-32
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16
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A parametric investigation of the diagnostic ability of probabilistic neural networks on turbofan engines
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ASME paper, 2001-GT-11
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Romessis C., Stamatis A., Mathioudakis K., 2001, 'A parametric investigation of the diagnostic ability of probabilistic neural networks on turbofan engines', ASME paper, 2001-GT-11
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17
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0003427669
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Temper-a gas path analysis tool for commercial jet engines
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ASME paper, 92-GT-315
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Doel D., 1992, 'Temper-a gas path analysis tool for commercial jet engines', ASME paper, 92-GT-315
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(1992)
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18
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0003947280
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Real time engine model implementation for adaptive control & performance monitoring of large civil turbofans
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ASME paper, 2001-GT-362
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Stamatis A., Mathioudakis K., Ruiz J., Curnock B., 2001, 'Real time engine model implementation for adaptive control & performance monitoring of large civil turbofans', ASME paper, 2001-GT-362
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Stamatis, A.1
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19
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Adaptive simulation of gas turbine performance
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April 1990
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Stamatis A., Mathioudakis K., Papailiou K. D., 1990, 'Adaptive simulation of gas turbine performance', Journal of engineering for gas turbines and power, April 1990, vol. 112, pg. 168-175
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0003768974
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Obidicote programme work package 4 steady-state test cases for engine deterioration
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Rolls Royce report, Document Number DNS78608, May 2001
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Curnock B., 2001, Obidicote Programme Work Package 4 Steady-State Test Cases for Engine Deterioration, Rolls Royce report, Document Number DNS78608, May 2001
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21
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4243414392
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Turbofan performance deterioration tracking using non-linear models and optimization techniques
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ASME paper GT-2002-30026
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Mathioudakis K., Kamboukos Ph., Stamatis A., 2002, 'Turbofan Performance Deterioration Tracking Using Non-Linear Models And Optimization Techniques', ASME paper GT-2002-30026
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Mathioudakis, K.1
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