Data-driven soft sensor design with multiple-rate sampled data: A comparative study

Industrial and Engineering Chemistry Research

Volumn 48, Issue 11, 2009, Pages 5379-5387

  Lin, Bao ^a,b,c   Recke, Bodil ^b   Schmidt, Torben M ^b   Knudsen, Jørgen K H ^b   Jørgensen, Sten Bay ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b FLSmidth AS   (Denmark)

^c NONE   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

A PLANTS; CEMENT KILN; CEMENT KILN SYSTEMS; COMPARATIVE STUDIES; DATA-DRIVEN; DESIGN QUALITY; FAST MODEL; INDUSTRIAL PROCESS; LIFTING TECHNIQUES; MODEL PROPERTIES; MULTI-RATE SYSTEMS; OPTIMIZATION PROBLEMS; PARTIAL LEAST SQUARES; POLYNOMIAL TRANSFORMATIONS; PROCESS ANALYTICAL TECHNOLOGY; PROCESS NOISE; PROCESS VARIABLES; PRODUCT QUALITY; QUALITY MEASUREMENTS; SAMPLED DATA; SAMPLING RATES; SINGLE INPUT SINGLE OUTPUT SYSTEMS; SOFT SENSORS; TIKHONOV REGULARIZATION;

CEMENTS; CURVE FITTING; FURNACES; KILNS; QUALITY ASSURANCE; QUALITY FUNCTION DEPLOYMENT; SENSORS; TOTAL QUALITY MANAGEMENT;

QUALITY CONTROL;

EID: 67650023032     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie801084e     Document Type: Article

References (21)

1. Kourti, T. The Process Analytical Technology initiative and multivariate process analysis, monitoring and control. Anal. Bioanal. Chem. 2006, 384 (5), 1043-1048.
2. Hinz, D. C. Process analytical technologies in the pharmaceutical industry: The FDA's PAT initiative. Anal. Bioanal. Chem. 2006, 384 (5), 1036-1042.
3. Isaksson, A. J. On the use of linear interpolation in identification subject to missing data; Report EE9202; Department of Electrical and Computer Engineering, University of Newcastle: Australia, 1992.
4. Amirthalingam, R.; Lee, J. H. Subspace identification based inferential control applied to a continuous pulp digester. J. Process Control 1999, 9 (5), 397-406.
5. Ramachandran, P.; Young, G. E.; Misawa, E. A. Intersample output estimation with multirate sampling. Proc. IEEE Int. Conf. Control Appl. 1996, 576-81.
6. Lu, W.; Fisher, D. G. Least-squares output estimation with multirate sampling. IEEE Trans. Automat. Control 1989, 34 (6), 669-672.
7. Fisher, D. G.; Lu, W. Multirate adaptive inferential estimation. IEEE Proc. Control Theor. Appl. 1992, 181-189.
8. Srinivasaro, M.; Gudi, R. D.; Patwardhan, S. C. Identification of fast-rate nonlinear output error models from multi-rate data; IFAC World Congress: Prague, 2005.
9. Wang, J.; Chen, T.; Huang, B. Multirate sampled-data systems: computing fast-rate models. J. Process Control 2004, 14 (1), 79-88.
10. Lin, B.; Recke, B.; Knudsen, J.; Jørgensen, S. B. A Systematic Approach for Soft Sensor Development. European Symposium on Computer Aided Process Engineering-15, Barcelona, Spain, 2005.
11. Li, W.; Han, Z.; Shah, S. L. Subspace Identification for FDI in Systems with Non-uniformly Sampled Multirate Data. Automatica 2006, 42, 619-627.
12. Shah, S. L.; Li, W.; Xiao, D. Kalman Filters for Non-uniformly Sampled Multirate Systems; 16th IFAC World Congress: Prague, 2005; p 2486.
13. Li, W.; Shah, S. L.; Xiao, D. Kalman Filters in Non-uniformly Sampled Multirate Systems: For FDI and Beyond. Automatica 2008, 44 (1), 193-198.
14. Khargonekar, P. P.; Poolla, K.; Tannenbaum, A. Robust control of linear time-invariant plants using periodic compensation. IEEE Trans. Automatic Control 1985, 30 (11), 1088-1096.
15. Johansen, T. A. On Tikhonov Regularization, Bias and Variance in Nonlinear System Identification. Automatica 1997, 33 (3), 441-446.
16. Bonne, D. Modelling for Optimal and Reliable Operation of Batch Processes. Ph. D. Thesis, Technical University of Denmark, Lyngby, 2005.
17. Bennett, K. P.; Embrechts, M. J. An Optimization Perspective on Partial Least Squares. In Advances in Learning Theory: Methods, Models and Applications; IOS Press: Amsterdam, 2003; Vol. 227, p 250.
18. FLSmidth Automation, ECS/CEMulator-the Most Realistic Environment for Operator Training in the Cement Industry. http://www.flsautomation.com/pdf/ cemulator.pdf.
19. Delfter, O. Simulation for Start-up and Operation of a Rotary Dry Process Kiln. Ph. D. Thesis, Technical University of Denmark, 1982.
20. Process System Enterprise Limited, gPROMS overview. http://www. psenterprise.com/gproms/index.html.
21. Lin, B.; Recke, B.; Knudsen, J. K. H; Jørgensen, S. B. A Systematic Approach for Soft Sensor Development. Comput. Chem. Eng. 2006, 31, 419-425.