Bayesian Networks Reliability Engineering by Cai Baoping (21 results)

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  • Language: English

    Published by Springer, 2020

    9811365180 / 9789811365188

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  • Language: English

    Published by Springer, 2019

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  • Language: English

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    Condition: New. pp. IX, 257 153 illus., 125 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Springer, 2019

    9811365156 / 9789811365157

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    Language: English

    Published by Springer, 2020

    9811365180 / 9789811365188

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    Taschenbuch. Condition: Neu. Bayesian Networks for Reliability Engineering | Baoping Cai (u. a.) | Taschenbuch | ix | Englisch | 2020 | Springer | EAN 9789811365188 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Springer Nature, 2020

    9811365180 / 9789811365188

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    Paperback. Condition: Brand New. 268 pages. 9.25x6.10x0.63 inches. In Stock.

  • Language: English

    Published by Springer, 2019

    9811365156 / 9789811365157

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    Hardcover. Condition: Brand New. 268 pages. 9.25x6.10x0.87 inches. In Stock.

  • Language: English

    Published by Springer, 2019

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2020

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  • Language: English

    Published by Springer, 2019

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  • Language: English

    Published by Springer Nature Singapore Aug 2020, 2020

    9811365180 / 9789811365188

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. 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.

  • Language: English

    Published by Springer Nature Singapore Mrz 2019, 2019

    9811365156 / 9789811365157

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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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.

  • Language: English

    Published by Springer Singapore, 2020

    9811365180 / 9789811365188

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    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.

  • Language: English

    Published by Springer Singapore, 2019

    9811365156 / 9789811365157

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    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.

  • Language: English

    Published by Springer, 2019

    9811365156 / 9789811365157

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by Springer, 2020

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. IX, 257 153 illus., 125 illus. in color.

  • Language: English

    Published by Springer, Springer Aug 2020, 2020

    9811365180 / 9789811365188

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.

  • Language: English

    Published by Springer, Springer Mär 2019, 2019

    9811365156 / 9789811365157

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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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.

  • Language: English

    Published by Springer, 2019

    9811365156 / 9789811365157

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by Springer, 2020

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. IX, 257 153 illus., 125 illus. in color.