Bayesian networks for reliability engineering /

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Bibliographic Details
Author / Creator:Cai, Baoping, author.
Imprint:Singapore : Springer, [2020]
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12601341
Hidden Bibliographic Details
Other authors / contributors:Liu, Yonghong, author.
Liu, Zengkai, author.
Chang, Yuanjiang, author.
Jiang, Lei, author.
ISBN:9789811365164
9811365164
9789811365157
Notes:Includes bibliographical references.
Online resource; title from PDF title page (EBSCO, viewed March 5, 2019).
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.
Standard no.:10.1007/978-981-13-6