Process trends analysis via wavelet-domain hidden markov models

Proceedings of 2004 International Conference on Machine Learning and Cybernetics

Volumn 1, Issue , 2004, Pages 372-377

  Li, Cheng ^a   Li, Ping ^a   Song, Huan Zhi ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Continuous stirred tank reactor (CSTR); Hidden Markov models (HMMs); Process trend analysis; Wavelet transform

Indexed keywords

APPROXIMATION THEORY; MATHEMATICAL MODELS; NUMERICAL ANALYSIS; SIGNAL PROCESSING; STATISTICAL MECHANICS; WAVELET TRANSFORMS;

HIDDEN MARKOV MODELS (HMM); PROCESS TREND ANALYSIS; SIGNAL ANALYSIS;

MARKOV PROCESSES;

EID: 6344294042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Nimmo. I., "Adequately address abnormal situation operations," Chem. Eng. Prog., 91(9), 36-45, 1995
2. Cheung, J., and G. Stephanopulous (1990a), "Repres entation of process trends- Part 1. A formal representation framework. Compu. Chem. Engng., 14, 4-5,495-510
3. Cheung, J., and G. Stephanopulous (1990b), "Representation of process trends- Part 2. The problem of scale and qualitative scaling. Compu. Chem. Engng., 14, 4-5, 511-539
4. Bakshi B. R., and G. Stephanopulous (1996), "Reasoning in time: modeling, analysis and pattern recognition of temporal process trends." In G. Stephanopulos, and C. Han, Intelligent systems in process engineering: paradigms from design to operations, Academic Press, San Diego, 487-548
5. I. Daubechies, Ten Lectures on Wavelet, CBMS-NSF Regional Conf. Series in Applied Mathematics, SIAM Press Philadelphia, Pennsylvania, 1992.
6. Crouse, M. S., Nowak, R. D., & Baraniuk, R. G. "Wavelet-based statistical signal processing using hidden Markov models," IEEE Transactions of Signal Processing, vol. 46, pp. 886-902, 1998.
7. W. Sun, A. Palazoglu, A. Romagnoli, "Detecting abnormal process trends by wavelet-domain hidden Markov models," AIChE Journoul, vol. 49, No. 1 January 2003
8. A. Bakhtazad, A. Palazoglu, J.A. Romagnoli, "Detection and classification of abnormal process situations using multidimensional wavelet domain hidden Markov trees," Computers and Chemical Engineering 24 (2000) 769-775
9. O. Ronen, J. Rohlicek, & M. Ostendorf, "Parameter estimation of dependence tree models using EM algorithm," IEEE Signal Processing Lett., vol. 2, pp. 157-159, 1995
10. L. Rabiner. "A tutorial on hidden Markov models and selected applications in speech recognition." Proc. IEEE. Vol. 77, pp. 257-285, 1989
11. Pottmann, M., and Seborg, D., (1992). "Identification of non-linear processes using reciprocal multiquadric functions," Journal of Procss Control. 2. 189-203.