AccueilGroupesDiscussionsPlusTendances
Site de recherche
Ce site utilise des cookies pour fournir nos services, optimiser les performances, pour les analyses, et (si vous n'êtes pas connecté) pour les publicités. En utilisant Librarything, vous reconnaissez avoir lu et compris nos conditions générales d'utilisation et de services. Votre utilisation du site et de ses services vaut acceptation de ces conditions et termes.

Résultats trouvés sur Google Books

Cliquer sur une vignette pour aller sur Google Books.

Chargement...

Process control system fault diagnosis : a Bayesian approach

par Ruben Gonzalez

MembresCritiquesPopularitéÉvaluation moyenneDiscussions
1Aucun7,662,328AucunAucun
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.… (plus d'informations)

Aucun mot-clé

Aucun
Chargement...

Inscrivez-vous à LibraryThing pour découvrir si vous aimerez ce livre

Actuellement, il n'y a pas de discussions au sujet de ce livre.

Aucune critique
aucune critique | ajouter une critique
Vous devez vous identifier pour modifier le Partage des connaissances.
Pour plus d'aide, voir la page Aide sur le Partage des connaissances [en anglais].
Titre canonique
Titre original
Titres alternatifs
Date de première publication
Personnes ou personnages
Lieux importants
Évènements importants
Films connexes
Épigraphe
Dédicace
Premiers mots
Citations
Derniers mots
Notice de désambigüisation
Directeur de publication
Courtes éloges de critiques
Langue d'origine
DDC/MDS canonique
LCC canonique

Références à cette œuvre sur des ressources externes.

Wikipédia en anglais

Aucun

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.

Aucune description trouvée dans une bibliothèque

Description du livre
Résumé sous forme de haïku

Discussion en cours

Aucun

Couvertures populaires

Aucun

Vos raccourcis

Évaluation

Moyenne: Pas d'évaluation.

Est-ce vous ?

Devenez un(e) auteur LibraryThing.

 

À propos | Contact | LibraryThing.com | Respect de la vie privée et règles d'utilisation | Aide/FAQ | Blog | Boutique | APIs | TinyCat | Bibliothèques historiques | Critiques en avant-première | Partage des connaissances | 203,215,347 livres! | Barre supérieure: Toujours visible