國立虎尾科技大學 |

Bayesian Networks for Reliability Engineering

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bayesian Networks for Reliability Engineering/ by Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang.
作者:	Cai, Baoping.
其他作者:	Jiang, Lei.
面頁冊數:	IX, 257 p. 153 illus., 125 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Simulation and Modeling. -
電子資源:	https://doi.org/10.1007/978-981-13-6516-4
ISBN:	9789811365164

Bayesian Networks for Reliability Engineering
Cai, Baoping.

Bayesian Networks for Reliability Engineering[electronic resource] /by Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang. - 1st ed. 2020. - IX, 257 p. 153 illus., 125 illus. in color.online resource.

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.

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.

ISBN: 9789811365164

Standard No.: 10.1007/978-981-13-6516-4doiSubjects--Topical Terms:

669249
Simulation and Modeling.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Bayesian Networks for Reliability Engineering
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