Synopsis
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.
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Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
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Data Mining and Knowledge Discovery for Process Monitoring and Control
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 272 pp. Englisch. N° de réf. du vendeur 9781447111375
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features the subjects of on-line signal preprocessing, feature extraction and concept formation, operational state identification and automatic generation of decision trees and production rules from data. This is the first book to address the application of. N° de réf. du vendeur 4184019
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Data Mining and Knowledge Discovery for Process Monitoring and Control
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Taschenbuch. Etat : Neu. Data Mining and Knowledge Discovery for Process Monitoring and Control | Xue Z. Wang | Taschenbuch | xviii | Englisch | 2012 | Springer | EAN 9781447111375 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 105721447
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Data Mining and Knowledge Discovery for Process Monitoring and Control
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Springer London, Springer London Okt 2012, 2012
ISBN 10 : 1447111370
ISBN 13 : 9781447111375
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch. N° de réf. du vendeur 9781447111375
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Data Mining and Knowledge Discovery for Process Monitoring and Control
Edité par
Springer London, Springer London, 2012
ISBN 10 : 1447111370
ISBN 13 : 9781447111375
Neuf
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781447111375
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Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
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Springer, 2012
ISBN 10 : 1447111370
ISBN 13 : 9781447111375
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