Bayesian networks for reliability engineering / Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang and Lei Jiang.

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....

Full description

Saved in:
Bibliographic Details
Main Authors: Cai, Baoping (Author), Liu, Yonghong (Author), Liu, Zengkai (Author), Chang, Yuanjiang (Author), Jiang, Lei (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2020]
Subjects:
Online Access:Click for online access
Description
Summary: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.
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9789811365164
9811365164
Source of Description, Etc. Note:Online resource; title from PDF title page (EBSCO, viewed March 5, 2019).