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Can I read Process Control System Fault Diagnosis: A Bayesian Approach (Wiley Series in Dynamics and Control of Electromechanical Systems) on EtoBox?

Process Control System Fault Diagnosis: A Bayesian Approach (Wiley Series in Dynamics and Control of Electromechanical Systems) by Ruben Gonzalez, Fei Qi, Biao Huang is a nonfiction available to read on EtoBox.

What is Process Control System Fault Diagnosis: A Bayesian Approach (Wiley Series in Dynamics and Control of Electromechanical Systems) about?

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

Who reads Process Control System Fault Diagnosis: A Bayesian Approach (Wiley Series in Dynamics and Control of Electromechanical Systems)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Ruben Gonzalez, Fei Qi, Biao Huang
Publisher
John Wiley & Sons, Ltd
Published
2016
Language
EN
ISBN
9781118770580
Category
nonfiction
Subjects
Engineering, Technology, Stem

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