Sensor Validation and Fusion for Gas Turbine Vibration Monitoring

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5107, Issue , 2003, Pages 106-117

  Yan, Weizhong ^a   Goebel, Kai ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

Data Fusion; Diagnostics; Information Fusion; Monitoring; Sensor Validation; Simulation; Vibration

Indexed keywords

BANDWIDTH; COMPUTER SIMULATION; DATA REDUCTION; ELECTRIC POWER SYSTEMS; PROGRAM DIAGNOSTICS; VIBRATIONS (MECHANICAL);

SYSTEM HEALTH;

GAS TURBINES;

EID: 0344082637     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.487206     Document Type: Conference Paper

References (21)

1. Bar-Shalom, Y., editor. Multitarget-Multisensor Tracking: Advanced Applications. Artech House, Norwood, MA, 1990.
2. Kim, Y.J., W.H. Wood, and A.M. Agogino, "Signal Validation for Expert System Development," Proceedings of the 2nd International Forum on Expert Systems and Computer Simulations in Energy Engineering, March 17-20, 1992 (Erlangen, Germany), pp. 9-5-1 to 9-5-6.
3. Bar-Shalom, Y. and T. E. Fortmann, Tracking and Data Association. Boston, MA: Academic, 1988.
4. Goebel, K. and Agogino, A., "Fuzzy Sensor Fusion of Gas Turbine Power Plants", Proceedings of SPIE, Sensor Fusion: Architecture, Algorithms, and Applications III, Vol. 3719, pp. 52-61, 1999.
5. Chew, E. Y. and Wilsky, A. S., "Analytic Redundancy and the Design of the Robust Failure Detection System", IEEE Trans. Auto. Contr., vol. AC-29, pp. 603-614, July 1984.
6. Lee, S. C., "Sensor Value Validation Based on Systematic Exploration of the Sensor Redundancy for Fault Diagnosis KBS", IEEE Transactions on Systems, Man and Cybernetics, vol. 24, no. 4, April 1994.
7. Mattern, D. L., Jaw, L.C., Guo, T-H, Graham, R, and McCoy, W., "Using Neural Networks for Sensor Validation", NASA Report (Number: NASA TM-1998-208484), National Aeronautics and Space Administration, Washington, DC 20546-0001.
8. rd American Neuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Controls, and Human-Machine Interface Technologies, Washington, DC, November 13-17, 2000.
9. Pouliezos A. D. and G. S. Stavrakankis, Real Time Fault Monitoring of Industrial Processes. Kulwer Academic Publishers, Dordrecht, 1994.
10. Kendall M. Stuart A. and J. k. Ord, The Advanced Theory of Statistics, vol. 2 and 3. Charles Criffin Ltd., London, 1982.
11. Anderson T. W., An Introduction to Multivariate Statistical Analysis. John Wiley, New York, 1958.
12. Bennett C. A. and N. L. Franklin. Statistical Analysis in Chemistry and the Chemical Industry. John Wiley, 1954.
13. Luo, R. C. and Kay, M. G., "Multisensor Integration and Fusion in Intelligent Systems", IEEE Transactions on Systems, Man, and Cybernetics, vol. 19, no. 5, 1989.
14. Lou, R. C. and Lin, M.," Dynamic multi-sensor Data Fusion system for Intelligent Robots", IEEE J. Robot. Automation., vol. RA-4, no. 4, pp. 386-396, 1988.
15. Durrant-Whyte, H. F., "Consistent Integration and Propagation of Disparate Sensor Observations," INT. J. Robot. Res., vol. 7, no. 6, pp. 97-113, 1988.
16. Zeytinoglu, M. and Mintz, M., "Robust Fixed Sized Confidence Procedure for a Restricted Parameter Space", Ann. Statist.., vol. 16, no. 3, pp. 1241-1253, 1988.
17. Kim, Y.J., "Uncertainty Propagation in Intelligent Sensor Validation," Ph.D. dissertation, University of California, Berkeley, CA, Spring 1992.
18. Shafer, G., A Mathematical Theory of Evidence, Princeton, NJ, Princeton Univ. Press, 1976.
19. Zadeh, L. A., "Fuzzy Sets", Inform. Contr., vol. 8, pp. 338-353, 1965.
20. Kamat, S. J., "Value Function Structure for Multiple Sensor Integration", Proc. SPIE, vol. 579, Intell. Robots and Computer Vision, Cambridge, MA, Sept. 1985.
21. nd Edition, Chapter 3, Holt, Rinehart and Winston, 1975.