Synopsis
This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering.
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About the Author
Baoping Cai is an associate professor at the China University of Petroleum (East China), a visiting researcher of the "Hong Kong Scholar" program at the City University of Hong Kong, and a visiting researcher at the Norwegian University of Science and Technology. He is an associate editor of IEEE Access (SCI journal) and Human-Centric Computing and Information Sciences (SCI journal), an editorial board member of 3 international journals, and a leading guest editor of 1 international journal. His research interests include reliability engineering, fault diagnosis, risk analysis, and Bayesian networks methodology and application. Up to now, he has published 65 SCI-index journal papers, 4 monographs, and holds 37 patents.
From the Back Cover
This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering. 268 pp. Englisch. Seller Inventory # 9789811365157
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a detailed review of the BN-based reliability methodologiesPresents important theoretical methods for BN-based reliabilityUses 12 practical engineering cases to illustrate the proposed methodsBaoping Cai is an associate. Seller Inventory # 267122342
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bayesian networks for reliability.- Using Bayesian networks in reliability evaluation for subsea blowout preventer control system.- Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks.- Reliability evaluation of auxiliary feedwater system by mapping GO-FLOW models into Bayesian networks.- Dynamic Bayesian networks based performance evaluation of subsea blowout preventers in presence of imperfect repair.- Performance evaluation of subsea BOP control systems using dynamic Bayesian networks with imperfect repair and preventive maintenance.- Dynamic Bayesian network modelling of reliability of subsea blowout preventer stack in presence of common cause failures.- A framework for the reliability evaluation of grid-connected photovoltaic systems in the presence of intermittent faults.- Real-time reliability evaluation methodology based on dynamic Bayesian networks.- Reliability evaluation methodology of complex systems based on dynamic object-oriented Bayesian networks.- Bayesian network-based risk analysis methodology, a case of atmospheric and vacuum distillation unit.- A multiphase dynamic Bayesian networks methodology for the determination of safety integrity levels.- Availability-based engineering resilience metric and its corresponding evaluation methodology.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch. Seller Inventory # 9789811365157