A sensor-fault-tolerant diagnosis tool based on a quadratic programming approach

Proceedings of the ASME Turbo Expo

Volumn 1, Issue , 2007, Pages 585-594

  Borguet, S ^a   Leonard O ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINE CONDITIONS; ISOLATION MODULE; ROBUST ESTIMATION; SENSOR FAULT DETECTION;

ALGORITHMS; MODEL PREDICTIVE CONTROL; PARAMETER ESTIMATION; QUADRATIC PROGRAMMING; STRUCTURAL HEALTH MONITORING; TURBINES;

KALMAN FILTERS;

EID: 34548778750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2007-27324     Document Type: Conference Paper

References (22)

1. A. J. Volponi, Foundation of Gas Path Analysis (part i and ii), von Karman Institute LS03-01 : Gas Turbine Condition Monitoring and Fault Diagnosis, 2003.
2. H. Liu, S. Shah, W. Jiang, On-line Outlier Detection and Data Cleaning, Computers and Chemical Engineering, vol. 28, 2004.
3. V. Surrender, R. Ganguli, Adaptive Myriad Filter for Improved Gas Turbine Condition Monitoring using Transient Data, ASME Paper GT2004-53080, 2004.
4. A.J. Volponi, H. DePold, R. Ganguli, C. Daguang, The Use of Kalman Filter and Neural Network Methodologies in Gas Turbine Performance Diagnostics: A Comparative Study, ASME J. of Eng. for Gas Turbines and Power, vol. 125, 2003.
5. T. Kobayashi, D.L. Simon, Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics, ASME Paper GT2003-38550, 2003.
6. T. Kobayashi, D.L. Simon, Evaluation of an Enhanced Bank of Kalman Filters for In-Flight Aircraft Engine Sensor Fault Diagnostics, ASME Paper GT2004-53640, 2004.
7. P. Dewallef, O. Léonard, Robust Measurement Validation on Jet Engines, in Proceedings of the fourth European Conference on Turbomachinery, 2001.
8. M. Grodent, A. Navez, Engine Physical Diagnosis using a Robust Parameter Estimation Method, 37th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, 2001.
9. P. Dewallef, O. Léonard, On-Line Performance Monitoring and Engine Diagnostic Using Robust Kalman Filtering Techniques, ASME Paper GT2003-38379, 2005.
10. S. Borguet, P. Dewallef, O. Léonard, On-Line Transient Engine Diagnostics in a Kalman Filtering Framework, ASME Paper GT2005-68013, 2005.
11. J.J Fuchs, A New Approach to Robust Linear Regression, 14th IFAC World Congress, 1999.
12. S. Haykin, Kalman Filtering and Neural Networks, Wiley Series on Adaptive and Learning Systems for Signal Processing, Communication and Control, 2001.
13. P. Dewallef, Application of the Kalman Filter to Health Monitoring of Gas Turbine Engines : A Sequential Approach to Robust Diagnosis, PhD. Thesis, University of Liège, 2005.
14. A.T. Nelson, Nonlinear Estimation and Modeling of Noisy Time Series by Dual Kalman Filtering Methods, PhD. Thesis, Oregon Graduate Institute of Technology, 2000.
15. T. Cipra, R. Romera, Kalman Filter with Outliers and Missing Observations, Sociedad de Estadistica e Investigacion Operativa, Test, vol. 6, 1997.
16. P.J. Huber, Robust Statistical Procedures, Society for Industrial and Applied Mathematics, 1996.
17. R. Fletcher, Practical Methods of Optimization, Wiley, 2000.
18. P. Dewallef, An Algorithm for Aircraft Engine Performance Monitoring and Sensor Fault Diagnosis, Technical Report, University of Liège, 2006, http://www.ulg.ac.be/turbo/research/paper/tr-pd06.pdf.
19. A. Stamatis, K. Mathioudakis, J. Ruiz, B. Curnock, Real-Time Engine Model Implementation for Adaptive Control and Performance Monitoring of Large Civil Turbofans, ASME Paper 2001-GT-0362, 2001.
20. B. Curnock, Obidicote Project - Work Package 4: Steady-State Test Cases, Technical Report DNS62433, Rolls-Royce Plc, 2000.
21. B.A. Roth, D.L. Doel, J.J. Cissell, Probabilistic Matching of Turbofan Performance Models to Test Data, ASME Paper GT2005-68201, 2005.
22. E.L. Haseltine, J.B. Rawlings, A Critical Evaluation of Extended Kalman Filtering and Moving Horizon Estimation, Technical Report number 2002-03, Texas-Wisconsin Modeling and Control Consortium, 2003, http://www.che.wisc.edu/jbr-group/tech-reports/twmcc-2002-03.pdf.