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Gonzalez, Ruben

Process Control System Fault Diagnosis: A Bayesian Approach

Gonzalez, Ruben - Process Control System Fault Diagnosis: A Bayesian Approach, ebook

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ISBN: 9781118770597
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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 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.

Keywords:

  1. Control System Monitoring
  2. Fault Diagnosis
  3. Bayesian Methods
  4. Control Performance Assessment
  5. Control System Safety
  6. Ambiguous Data
  7. Missing Data
  8. Dempster-Shafer Theory
  9. Kernel Density Estimation
  10. Information Synthesis
, Control Process & Measurements
Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2016
Language
en
Edition
1
Series
Wiley Series in Dynamics and Control of Electromechanical Systems
Page amount
360 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (ePUB)
9781118770597
Printed ISBN
9781118770610

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