Discover millions of ebooks, audiobooks, and so much more with a free trial

Only $11.99/month after trial. Cancel anytime.

Unavailable
Process Control System Fault Diagnosis: A Bayesian Approach
Unavailable
Process Control System Fault Diagnosis: A Bayesian Approach
Unavailable
Process Control System Fault Diagnosis: A Bayesian Approach
Ebook273 pages6 hours

Process Control System Fault Diagnosis: A Bayesian Approach

Rating: 0 out of 5 stars

()

Currently unavailable

Currently unavailable

About this ebook

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.

LanguageEnglish
PublisherWiley
Release dateJul 21, 2016
ISBN9781118770580
Unavailable
Process Control System Fault Diagnosis: A Bayesian Approach
Author

Ruben Gonzalez

Ruben Gonzalez is a four-time Olympian, a New York Times and USA Today bestselling author and an award-winning keynote speaker.At the age of 21, Ruben took up the sport of luge. Four years and a few broken bones later he was competing in the Calgary Olympics. At the age of 47 he was racing against 20-year-olds in the Vancouver Olympics, becoming the first person to ever compete in four Winter Olympics each in a different decade - 1988, 1992, 2002, 2010.He's spoken for hundreds of Fortune 500 companies about developing mental toughness, attitude, and the principles that lead to success in business and in life. TheLugeMan.com

Read more from Ruben Gonzalez

Related to Process Control System Fault Diagnosis

Mechanical Engineering For You

View More

Reviews for Process Control System Fault Diagnosis

Rating: 0 out of 5 stars
0 ratings

0 ratings0 reviews

What did you think?

Tap to rate

Review must be at least 10 words