Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis.The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques.The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application. 212 pp. Englisch. N� de r�f. du vendeur 9781852332587

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Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Evan L. Russell

Edit� par Springer London, Springer London, 2000

ISBN 10 : 1852332581 ISBN 13 : 9781852332587

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis.The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques.The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application. N� de r�f. du vendeur 9781852332587

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Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Evan L. Russell|Leo H. Chiang|Richard D. Braatz

Edit� par Springer London, 2000

ISBN 10 : 1852332581 ISBN 13 : 9781852332587

Neuf Couverture rigide

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Vendeur : moluna, Greven, Allemagne

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers a variety of data-driven process monitoring techniquesIncludes detailed applications in chemical plant simulationIncludes homework problems to enable deeper comprehension of the textEarly and accurate fault detection and diagnosis for mod. N� de r�f. du vendeur 4289444

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Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes (Advances in Industrial Control)

Evan L. Russell

Edit� par Springer, 2000

ISBN 10 : 1852332581 ISBN 13 : 9781852332587

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Vendeur : Revaluation Books, Exeter, Royaume-Uni

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Paperback. Etat : Brand New. 192 pages. 9.25x6.25x0.75 inches. In Stock. N� de r�f. du vendeur zk1852332581

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