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Bayesian Networks for Reliability Engineering

Authors: Cai, B., Liu, Y., Liu, Z., Chang, Y., Jiang, L.

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  • Provides a detailed review of the BN-based reliability methodologies
  • Presents important theoretical methods for BN-based reliability
  • Uses 12 practical engineering cases to illustrate the proposed methods
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-981-13-6516-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-981-13-6515-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

 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.

About the authors

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.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Application of Bayesian Networks in Reliability Evaluation

    Pages 1-25

    Cai, Baoping (et al.)

  • A Framework for the Reliability Evaluation of Grid-Connected Photovoltaic Systems in the Presence of Intermittent Faults

    Pages 27-48

    Cai, Baoping (et al.)

  • Reliability Evaluation of Auxiliary Feedwater System by Mapping GO-FLOW Models into Bayesian Networks

    Pages 49-68

    Cai, Baoping (et al.)

  • Dynamic Bayesian Network Modeling of Reliability of Subsea Blowout Preventer Stack in the Presence of Common Cause Failures

    Pages 69-85

    Cai, Baoping (et al.)

  • Reliability Evaluation Methodology of Complex Systems Based on Dynamic Object-Oriented Bayesian Networks

    Pages 87-107

    Cai, Baoping (et al.)

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-981-13-6516-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-981-13-6515-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Networks for Reliability Engineering
Authors
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-6516-4
DOI
10.1007/978-981-13-6516-4
Hardcover ISBN
978-981-13-6515-7
Edition Number
1
Number of Pages
IX, 257
Number of Illustrations
28 b/w illustrations, 125 illustrations in colour
Topics