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Process Control System Fault Diagnosis: A Bayesian Approach
Ruben Gonzalez
€ 169.08
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Description for Process Control System Fault Diagnosis: A Bayesian Approach
Hardcover. Process Control System Fault Diagnosis: A Bayesian Approach Ruben T. Gonzalez, University of Alberta, Canada Fei Qi, Suncor Energy Inc. Series: Wiley Series in Dynamics and Control of Electromechanical Systems. Num Pages: 360 pages, illustrations. BIC Classification: TDCB; TGP; TJ. Category: (P) Professional & Vocational. Dimension: 249 x 175 x 22. Weight in Grams: 714.
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Process Control System Fault Diagnosis: A Bayesian Approach
Ruben T. Gonzalez, University of Alberta, Canada
Fei Qi, Suncor Energy Inc., Canada
Biao Huang, University of Alberta, Canada
Data-driven Inferential Solutions for Control System Fault Diagnosis
A typical modern process system consists of...
Product Details
Format
Hardback
Publication date
2016
Publisher
John Wiley & Sons Inc United States
Number of pages
360
Condition
New
Series
Wiley Series in Dynamics and Control of Electromechanical Systems
Number of Pages
360
Place of Publication
New York, United States
ISBN
9781118770610
SKU
V9781118770610
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Ruben Gonzalez
Ruben Gonzalez completed his Bachelor's degree in chemical engineering in 2008 at the University of New Brunswick. Under the supervision of Dr. Biao Huang, he completed his Master's degree in 2010 and his Doctorate in 2014, both in chemical engineering, at the University of Alberta. His research interests include Bayesian diagnosis, fault detection and diagnosis, data reconciliation, and applied kernel...
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