Process Control System Fault Diagnosis | Zookal Textbooks | Zookal Textbooks
  • Author(s) Ruben Gonzalez / Fei Qi / Biao Huang
  • SubtitleA Bayesian Approach
  • Edition1
  • Published16th September 2016
  • PublisherJohn Wiley & Sons (UK)
  • ISBN9781118770610

A Bayesian Approach

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 System Fault Diagnosis: A Bayesian Approach 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.

Process Control System Fault Diagnosis

Format
In stock at supplier

Leaves in 1-4 weeks

$174.81 $203.95 Save $29.14
or 4 payments of $43.70 with Zookal accepts Afterpay
Add Zookal Study FREE trial and save a further 20% 

NEW PRICE

$139.85 + free shipping

(20% off - save $34.96)

Zookal Study Free trial

14-day FREE trial. $14.95/mo after. Cancel anytime.

*Discount will apply at checkout.

 See terms and conditions

You will get a further 20% off for this item ($139.85 after discount) because you have added Zookal Study Premium Free Trial to your bag.

For this discount to apply, you will need to complete checkout with the Zookal Study Premium Free Trial in your bag.

-
+
  • Author(s) Ruben Gonzalez / Fei Qi / Biao Huang
  • SubtitleA Bayesian Approach
  • Edition1
  • Published16th September 2016
  • PublisherJohn Wiley & Sons (UK)
  • ISBN9781118770610

A Bayesian Approach

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 System Fault Diagnosis: A Bayesian Approach 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.

translation missing: en.general.search.loading