9781852332587 - data-driven methods for fault detection and diagnosis in chemical processes di russell, evan l. (11 risultati)

Editore: Springer, London 2000
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Da: Attic Books (ABAC, ILAB), London, ON, CanadaAttic Books (ABAC, ILAB)
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Hardcover. Condizione: Fine. Advances in Industrial Control series. xiii, 192 p. 24 cm. 49 figures and tables. Hardcover.

Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Evan Russell Richard D. Braatz Leo H. Chiang Evan L. Russell
Lingua: Inglese
Editore: Springer 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. xiv + 212 1st Edition.

Lingua: Inglese
Editore: Springer 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes | Evan L. Russell (u. a.) | Taschenbuch | xiii | Englisch | 2000 | Springer | EAN 9781852332587 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer…[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer London, Springer London 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: 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.

Lingua: Inglese
Editore: Springer 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 192 pages. 9.25x6.25x0.75 inches. In Stock.

Lingua: Inglese
Editore: Springer 2013
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Lingua: Inglese
Editore: Springer London Feb 2000 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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 effec…tive 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.

Lingua: Inglese
Editore: Springer London 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: 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 textEa…rly and accurate fault detection and diagnosis for mod.

Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Russell Evan Braatz Richard D. Chiang Leo H. Russell Evan L.
Lingua: Inglese
Editore: Springer 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. xiv + 212 Illus.

Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Russell Evan Braatz Richard D. Chiang Leo H. Russell Evan L.
Lingua: Inglese
Editore: Springer 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. xiv + 212.

Lingua: Inglese
Editore: Springer, Springer Feb 2000 2000
Serie: Advances in Industrial Control, Libro 91 di 167. Libro 91 di 167 - Advances in Industrial Control
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 106,99
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.