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  • © 2020

Bayesian Networks for Reliability Engineering

  • 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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Table of contents (11 chapters)

  1. Front Matter

    Pages i-ix
  2. Application of Bayesian Networks in Reliability Evaluation

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 1-25
  3. A Framework for the Reliability Evaluation of Grid-Connected Photovoltaic Systems in the Presence of Intermittent Faults

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 27-48
  4. Reliability Evaluation of Auxiliary Feedwater System by Mapping GO-FLOW Models into Bayesian Networks

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 49-68
  5. Reliability Evaluation Methodology of Complex Systems Based on Dynamic Object-Oriented Bayesian Networks

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 87-107
  6. Failure Probability Analysis for Emergency Disconnect of Deepwater Drilling Riser Using Bayesian Network

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 135-163
  7. Risk Analysis of Subsea Blowout Preventer by Mapping GO Models into Bayesian Networks

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 165-187
  8. Bayesian Network-Based Risk Analysis Methodology: A Case of Atmospheric and Vacuum Distillation Unit

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 189-216
  9. A Multiphase Dynamic Bayesian Network Methodology for the Determination of Safety Integrity Levels

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 217-237
  10. Availability-Based Engineering Resilience Metric and Its Corresponding Evaluation Methodology

    • Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang
    Pages 239-257

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.


Authors and Affiliations

  • China University of Petroleum, Qingdao, China

    Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang

  • Southwest Jiaotong University, Chengdu, China

    Lei Jiang

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.

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access