Data Mining and Knowledge Discovery for Process Monitoring and Control (Paperback, Softcover reprint of the original 1st ed. 1999)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advances in Industrial Control
Release date:	October 2012
First published:	October 2012
Authors:	Xue Z. Wang
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	251
Edition:	Softcover reprint of the original 1st ed. 1999
ISBN-13:	978-1-4471-1137-5
Categories:	Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General Books > Computing & IT > Applications of computing > Databases > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	1-4471-1137-0
Barcode:	9781447111375

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