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Bayesian Networks for Reliability Engineering / / by Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang



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Autore: Cai Baoping Visualizza persona
Titolo: Bayesian Networks for Reliability Engineering / / by Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (IX, 257 p. 153 illus., 125 illus. in color.)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Quality control
Reliability
Industrial safety
Power electronics
Computer simulation
Computational Intelligence
Quality Control, Reliability, Safety and Risk
Power Electronics, Electrical Machines and Networks
Simulation and Modeling
Persona (resp. second.): LiuYonghong
LiuZengkai
ChangYuanjiang
JiangLei
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Bayesian Networks for Reliability Engineering  Visualizza cluster
ISBN: 981-13-6516-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483580003321
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