Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
Language: English
Published by Springer London, 2000
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 81.58
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Add to basketItem description from seller
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.
Seller Inventory # 4289444
- Title
- Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
- Author
- Evan L. Russell|Leo H. Chiang|Richard D. Braatz
- Publisher
- Springer London
- Publication year
- 2000
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 1852332581
- ISBN 13
- 9781852332587
- Series
- Book 91 of 167: Advances in Industrial Control
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.
"Synopsis" may belong to another edition of this title.
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