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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- Birdwell J.D. An expert system can aid in the evolution of a design methodology. Proc of American Control Conference, Minneapolis, MN., 1987, pp 541–546Google Scholar
- 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: 85–89Google Scholar
- 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): 29–34Google Scholar
- 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 2156–2161Google Scholar
- Kowalik J.S. and Kitzmiller C.T. Coupling symbolic and numeric computing in expert systems, II Ed. Elsevier Science Publishers, New York, 1988Google Scholar
- 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 1960–1965Google Scholar
- Rao M. Integrated systems for intelligent control. Springer-Verlag, Belin, 1991Google Scholar
- Rao M. Challenges and frontiers of intelligent process control. Engineering Application of Artificial Intelligence 1992; 5 (6): 474–481Google Scholar
- Rao M, Jiang T.S. and Tsai J.R Integration strategy for distributed intelligent system. J. of Intelligent and Robotic Systems 1990; 3: 131–146Google Scholar
- Rao M. and Qiu H. Process control engineering. Gordon & Breach Science Publisher, Langhorne, Pennsylvania, USA, 1993Google Scholar
- Rao M., Wang Q. and Cha J. Itegrated distributed intelligent systems in manufacturing. Chapman & Hall, London, 1993Google Scholar
- Sheu P. and Kashyap R.L. Designing control systems with knowledge. Proc of American Control Conference, Minneapolis, MN., 1987, pp 941–946Google Scholar