國立高雄大學圖資館 |

Language: English

Back to Search results for [ author_sort:"cai, baoping." ]

Bayesian networks for reliability en...

Cai, Baoping.

Bayesian networks for reliability engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bayesian networks for reliability engineeringby Baoping Cai ... [et al.].
other author:	Cai, Baoping.
Published:	Singapore :Springer Singapore :2020.
Description:	ix, 257 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Bayesian statistical decision theory.
Online resource:	https://doi.org/10.1007/978-981-13-6516-4
ISBN:	9789811365164$q(electronic bk.)

Bayesian networks for reliability engineering
Bayesian networks for reliability engineering[electronic resource] /by Baoping Cai ... [et al.]. - Singapore :Springer Singapore :2020. - ix, 257 p. :ill., digital ;24 cm.

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$q(electronic bk.)

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

182005
Bayesian statistical decision theory.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

Bayesian networks for reliability engineering
LDR:02951nmm a2200325 a 4500 001 578087
003 DE-He213
005 20200430135228.0
006 m d
007 cr nn 008maaau
008 201208s2020 si s 0 eng d
020 $a 9789811365164$q(electronic bk.)
020 $a 9789811365157$q(paper)
024 7 $a 10.1007/978-981-13-6516-4 $2 doi
035 $a 978-981-13-6516-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 519.542 $2 23
090 $a QA279.5 $b .B357 2020
245 0 0 $a Bayesian networks for reliability engineering $h [electronic resource] / $c by Baoping Cai ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a ix, 257 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Bayesian statistical decision theory. $3 182005
650 0 $a Reliability (Engineering) $x Mathematical models. $3 182603
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 338660
650 2 4 $a Simulation and Modeling. $3 273719
700 1 $a Cai, Baoping. $3 840196
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-13-6516-4
950 $a Intelligent Technologies and Robotics (Springer-42732)