Data Driven Methods Fault Detection by Russell Evan (21 results)
Language: English
Published by Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Language: English
Published by Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
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Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Evan Russell Richard D. Braatz Leo H. Chiang Evan L. Russell
Language: English
Published by Springer 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Condition: New. pp. xiv + 212 1st Edition.
Language: English
Published by Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Published by Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Taschenbuch. Condition: Neu. Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes | Evan L. Russell (u. a.) | Taschenbuch | xiii | Englisch | 2012 | Springer | EAN 9781447111337 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[…dot]com | Anbieter: preigu.
Language: English
Published by Springer 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Springer London, Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Springer London, Springer London 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: 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.
Language: English
Published by Springer 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Language: English
Published by Springer 2013
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Language: English
Published by Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
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Language: English
Published by Springer London Nov 2012 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
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Taschenbuch. Condition: 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 effect…ive 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.
Language: English
Published by Springer London Feb 2000 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: 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 effect…ive 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.
Language: English
Published by Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Condition: New. Print on Demand pp. 212 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Language: English
Published by Springer London 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
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Kartoniert / Broschiert. Condition: 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 textEar…ly and accurate fault detection and diagnosis for mod.
Language: English
Published by Springer London 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Condition: 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 det…ection and diagnosis for mod.
Language: English
Published by Springer 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
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Condition: New. PRINT ON DEMAND pp. 212.
Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Russell Evan Braatz Richard D. Chiang Leo H. Russell Evan L.
Language: English
Published by Springer 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. xiv + 212.
Data-Driven Methods for Fault Detection and Diagnosis in Chemical Processes
Russell Evan Braatz Richard D. Chiang Leo H. Russell Evan L.
Language: English
Published by Springer 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. xiv + 212 Illus.
Language: English
Published by Springer, Springer Feb 2000 2000
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Springer London, Springer Nov 2012 2012
Series: Advances in Industrial Control, Book 91 of 167. Book 91 of 167 - Advances in Industrial Control
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
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Taschenbuch. Condition: 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
