Data-driven fault detection and estimation in thermal pulse combustors

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Volumn 222, Issue 8, 2008, Pages 1097-1108

  Chakraborty, S ^a   Gupta, S ^a   Ray, A ^a,c   Mukhopadhyay, A ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b JADAVPUR UNIVERSITY   (India)

^c The Pennsylvania State University   (United States)

Author keywords

Anomaly detection; Inverse problem; Parameter estimation; Symbolic dynamic filtering; Thermal pulse combustor

Indexed keywords

COMBUSTION; FAULT DETECTION; FEATURE EXTRACTION; FRICTION; INFORMATION THEORY; INVERSE PROBLEMS; METAL ANALYSIS; MODEL STRUCTURES; PARAMETER ESTIMATION; PATTERN RECOGNITION; STATISTICAL METHODS;

ANOMALY DETECTION; DETECTION AND ESTIMATIONS; DYNAMIC DATUMS; EARLY DETECTIONS; FLAME EXTINCTIONS; FRICTION COEFFICIENTS; INCIPIENT FAULTS; PRESSURE OSCILLATIONS; PULSE COMBUSTORS; SIMULATION MODELS; STATISTICAL PATTERN RECOGNITIONS; SYMBOLIC DYNAMIC FILTERING; SYMBOLIC DYNAMICS; THERMAL PULSE COMBUSTOR; TIME-SERIES DATUM;

COMBUSTORS;

EID: 57349182500     PISSN: 09544100     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544100JAERO432     Document Type: Article

References (19)

1. Richards, G. A., Morris, G. J., Shaw, D. W., Kelley, S. A., and Welter, M. J. Thermal pulse combustion. Combust. Sci. Technol., 1993, 94, 57-85.
2. Rhode, M. A., Rollins, R. W., Markworth, A. J., Edwards, K. D., Nguyen, K., Daw, C. S., and Thomas, J. F. Controlling chaos in a model of thermal pulse combustion. J. Appl. Phys., 1995, 78, 2224-2232.
3. Duda, R., Hart, P., and Stork, D. Pattern classification, 2001 (Wiley Interscience, New York, NY).
4. Kantz, H. and Schreiber, T. Nonlinear time series analysis, 2nd edition, 2004 (Cambridge University Press, Cambridge, UK).
5. Datta, S., Mukhopadhyay, A., and Sanyal, D. Effect of tailpipe friction factor on the nonlinear dynamics of a thermal pulse combustor. In Proceedings of the 42nd AIAA/ASME/SAE/ASEE Joint Propulsion Conference, Sacramento, CA, USA, 2006, paper no. AIAA-2006-4396.
6. Gupta, S., Ray, A., Sarkar, S., and Yasar, M. Fault detection and isolation in aircraft gas turbine engines. Part I: underlying concept. Proc. IMechE, Part G: J. Aerospace. Engineering, 2008, 222(G3), 307-308.
7. Sarkar, S., Yasar, M., Gupta, S., Ray,A., and Mukherjee, K. Fault detection and isolation in aircraft gas turbine engines. Part II: validation on a simulation test bed. Proc. IMechE, Part G: J. Aerospace Engineering, 2008, 222(G3), 319-330.
8. Ray, A. Symbolic dynamic analysis of complex systems for anomaly detection. Signal Process., 2004, 84(7), 1115-1130.
9. Gupta, S., Ray, A., and Mukhopadhyay A. Anomaly detection in thermal pulse combustors using symbolic time series analysis. Proc. IMechE, Part I: J. Systems and Control Engineering, 2006, 220(15), 339-351.
10. In, V., Spano, M. L., Neff, J. D., Ditto, W. L., Daw, C. S., Edwards, K. D., and Nguyen, K. Maintenance of chaos in a computational model of thermal pulse combustor. Chaos, 1997, 7, 605-613.
11. Rajagopalan, V. and Ray, A. Symbolic time series analysis via wavelet-based partitioning. Signal Process., 2006, 86(11), 3309-3320.
12. Badii, R. and Politi, A. Complexity hierarchical structures and scaling in physics, 1997 (Cambridge University Press, Cambridge, UK).
13. Buhl, M. and Kennel, M. B. Statistically relaxing to generating partitions for observed time-series data. Phys. Rev. E, 2005, 71(4), 046213.
14. Mallat, S. A wavelet tour of signal processing 2/e, 1998 (Academic Press, Boston, MA).
15. Rao, C., Ray, A., Sarkar, S., and Yasar, M. Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns. Signal Image Video Process., 2008, DOI: 101007/s11760-008-0061- 8.
16. Gupta, S., Ray, A., and Keller, E. Symbolic time series analysis of ultrasonic data for early detection of fatigue damage. Mech. Syst. Signal Process., 2007, 21(2), 866-884.
17. Tarantola, A. Inverse problem theory, 2005 (Society for Industrial and Applied Mathematics, Philadelphia, PA).
18. Snedecor, G. W. and Cochran, W. G. Statistical methods, 8/e, 1989 (Iowa State University Press, Ames, IA, USA).
19. Bishop, C. M. Neural networks for pattern recognition, 1995 (Oxford University Press Inc., New York, NY).