Bayesian Networks for Reliability Engineering (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	March 2019
First published:	2020
Authors:	Baoping Cai • Yonghong Liu • Zengkai Liu • Yuanjiang Chang • Lei Jiang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	257
Edition:	1st ed. 2020
ISBN-13:	978-981-13-6515-7
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-13-6515-6
Barcode:	9789811365157

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