Data Mining and Knowledge Discovery for Process Monitoring and Control

Data Mining and Knowledge Discovery for Process Monitoring and Control

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Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of process-operational data both in real-time and over the operational history, and describes new concepts and methodologies for developing intelligent, state space-based systems for process monitoring, control and diagnosis. The book brings together new methods and algorithms from process monitoring and control, data mining and knowledge discovery, artificial intelligence, pattern recognition, and causal relationship discovery, as well as signal processing. It also provides a framework for integrating plant operators and supervisors into the design of process monitoring and control systems.Perrya#39;s chemical engineersa#39; handbook, Section 30. McGraw-Hill, 1997 ... In: Stephanopoulos G and Han C (Eds.) Intelligent Systems in Process Engineering: Paradigms from Design and Operations. Academic Press, Inc. ... Economic control of quality of manufactured product. ... Statistical process control: a practical guide.

Title:Data Mining and Knowledge Discovery for Process Monitoring and Control
Author: Xue Z. Wang
Publisher:Springer Science & Business Media - 2012-12-06

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