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Ruben Gonzalez - Process Control System Fault Diagnosis: A Bayesian Approach - 9781118770610 - V9781118770610
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Process Control System Fault Diagnosis: A Bayesian Approach

€ 137.14
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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.

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 hundreds or even thousands of control loops, which are overwhelming for plant personnel to monitor. The main objectives of this book are to establish a new framework for control system fault diagnosis, to synthesize observations of different monitors with a prior knowledge, and to pinpoint possible abnormal sources on the basis of Bayesian theory.

Process Control ... Read more consolidates results developed by the authors, along with the fundamentals, and presents them in a systematic way. The book provides a comprehensive coverage of various Bayesian methods for control system fault diagnosis, along with a detailed tutorial. The book is useful for graduate students and researchers as a monograph and as a reference for state-of-the-art techniques in control system performance monitoring and fault diagnosis. Since several self-contained practical examples are included in the book, it also provides a place for practicing engineers to look for solutions to their daily monitoring and diagnosis problems.

 

Key features:

•             A comprehensive coverage of Bayesian Inference for control system fault diagnosis.

•             Theory and applications are self-contained.

•             Provides detailed algorithms and sample Matlab codes.

•             Theory is illustrated through benchmark simulation examples, pilot-scale experiments and industrial application.

 

Process Control System Fault Diagnosis: A Bayesian Approach is a comprehensive guide for graduate students, practicing engineers, and researchers who are interests in applying theory to practice.

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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 ... Read more

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