A stochastic approach to dynamic system modeling with application to gas turbines

American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC

Volumn 74 DSC, Issue 2 PART B, 2005, Pages 1069-1078

  Bassily, Hany ^a   Wagner, John ^a  

^a Clemson University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FAULT DIAGNOSTIC; MODELING ERRORS; MODELING STRATEGY;

ERROR ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; RANDOM PROCESSES; SENSORS;

GAS TURBINES;

EID: 33645697993     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/IMECE2005-79385     Document Type: Conference Paper

References (14)

1. Al-Nashash, H., Al-Assaf, Y., Paul, J., and Thakor, N., "EEG Signal Modeling Using Adaptive Markov Process Amplitude", IEEE Transactions on Biomedical Engineering, vol. 51, no. 5, pp. 744-751, May 2004.
2. Arkov, V., Kulikov, G. G., and Breikin, T. T., "Application of Markov Chains to Identification of Turbine Engine Dynamic Models", proceedings of ASME TURBO EXPO, vol. 2A, pp. 163-168, Amsterdam, The Netherlands, June 2002.
3. Arkov, V., Evans, C., Fleming, P. J., Hill, D. C., Norton, J. P., Pratt, I., Rees, D., and Rodriguez-Vazquez, K., "System Identification Strategies Applied to Aircraft Gas Turbine Engines", Annual Reviews in Control, vol. 24, no. 1, pp. 67-81, 2000.
4. Brockwell, P. J. and Davis, R. A., "Introduction to Time Series and Forcasting", Second Edition, Springer, 2002.
5. Ghahramani, S., "Fundamentals of Probability", Second Edition, Prentice Hall, 2000.
6. Kwan, C., Zhang, X., Xu, R., and Haynes, L., "A Novel Approach to Fault Diagnostics and Prognostics", proceedings of IEEE International Conference on Robotics and Automation, vol. 1, pp. 604-609, Taipei, Taiwan, September 2003.
7. Lee, J., Kim, S., Yoha, H., and Song, C., "Diagnosis of Mechanical Fault Signals Using Continuous Hidden Markov Model", Journal of Sound and Vibration, vol. 276, no. 3-5, pp. 1065-1080, September 2004.
8. Li, Z., Wu, Z., He, Y., and Fulei, C., "Hidden Markov Model-based Fault Diagnostics Method in Speed-up and Speed-down Process for Rotating Machinery", Mechanical Systems and Signal Processing, vol. 19, no. 2, pp. 329-339, March 2005.
9. Mohamed, M., and Gader, P., "Generalized Hidden Markov Models - Part II: Application to Handwritten Word Recognition", IEEE Transactions on Fuzzy Systems, vol. 8, no. 1, pp. 82-94, 2000.
10. Olsson, B., Laurio, K., and Gudjonsson, L., "A Hybrid Method for Protein Sequence Modeling with Improved Accuracy", Information Sciences, vol. 139, no. 1-2, pp. 113-138, November 2001.
11. Patton, R. J., Frank, P. M., and Clark, R. N., "Issues of Fault Diagnosis for Dynamic Systems", First Edition, Springer, 2000.
12. Rabiner, L. R., "A Tutorial on Hidden Markov Models and Selected Application in Speech Recognition", Proceedings of the IEEE, vol. 77, no. 2, pp. 257-286, February 1989.
13. Ross, S. M. "Stochastic Processes", Second Edition, John Wiley and Sons, 1996.
14. Yang, J., Xu, Y., and Chen, C., "Hidden Markov Model-Based Learning Controller", proceedings of IEEE International Symposium on Intelligent Control, pp. 39-44, Columbus, OH, August 1994.