Abstract
Papermaking process operations involve multiple tasks under multiple criteria such as process quality control, operation optimization, fault detection, and emergency handling. The criteria applied in the operation are better product quality, higher production profit, improved equipment safety, and environment protection. Current process control and information systems mainly deal with normal situation and provide process operation information. How to efficiently utilize these information and make decisions for handling process operation problems is still heavily relied on process operators’ experience.
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References
Birdwell J.D. An expert system can aid in the evolution of a design methodology. Proc of American Control Conference, Minneapolis, MN., 1987, pp 541–546
Birky G.R., McAvoy T.J. and Modarres M. An expert system for distillation control design. Computers. Chem. Engng 1988; 12: 1045–1063
Donal R., Windon Jr., Deborah F.C. and Joseph G.M. Integrating the art and science of paper making in an expert system. TAPPI Journal 1991; 9: 85–89
Harris C.A., Sprentz P., Hall M. and Meech J.A. How expert systems can improve productivity in the mill. Pulp and Paper Canada 1990; 91 (11): 29–34
James J.R. A survey of knowledge-based systems for computer-aided control system design. Proc of the American Control Conference, Minneapolis, MN., 1987, pp 2156–2161
Kowalik J.S. and Kitzmiller C.T. Coupling symbolic and numeric computing in expert systems, II Ed. Elsevier Science Publishers, New York, 1988
Lamont G.B. and Schiller M.W. The role of artificial intelligence in computer aided design of control system. Proc of Conference on Decision and Control, Los Angeles, CA., 1987, pp 1960–1965
Pang G. Knowledge engineering in the computer-aided design of control system. Expert Systems 1989; 6 (4): 250–262
Rao M. Integrated systems for intelligent control. Springer-Verlag, Belin, 1991
Rao M. Challenges and frontiers of intelligent process control. Engineering Application of Artificial Intelligence 1992; 5 (6): 474–481
Rao M., Jiang T.S. and Tsai J.P. IDSCA: An Intelligent Direction Selector for the Controller’s Action in multiloop control systems. International Journal of Intelligent Systems 1988; 3: 361–379
Rao M, Jiang T.S. and Tsai J.P. Combining symbolic and numerical processing for real-time intelligent control. Engineering Application of Artificial Intelligence 1989; 2: 19–27
Rao M, Jiang T.S. and Tsai J.R Integration strategy for distributed intelligent system. J. of Intelligent and Robotic Systems 1990; 3: 131–146
Rao M. and Qiu H. Process control engineering. Gordon & Breach Science Publisher, Langhorne, Pennsylvania, USA, 1993
Rao M., Wang Q. and Cha J. Itegrated distributed intelligent systems in manufacturing. Chapman & Hall, London, 1993
Rao M., Tsai J.P. and Jiang T.S. An intelligent decision-maker for optimal control. Applied Artificial Intelligence 1988; 2: 285–305
Rao M., Ying Y. and Wang Q. Integrated distributed intelligent system for process control system design. Engineering Application of Artificial Intelligence 1992; 5 (6): 505–518
Sheu P. and Kashyap R.L. Designing control systems with knowledge. Proc of American Control Conference, Minneapolis, MN., 1987, pp 941–946
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© 1994 Springer-Verlag London Limited
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Rao, M., Xia, Q., Ying, Y. (1994). Expert Systems. In: Modeling and Advanced Control for Process Industries. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-2094-0_8
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DOI: https://doi.org/10.1007/978-1-4471-2094-0_8
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2096-4
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