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

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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.

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Product Description

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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Release date

March 2019

Availability

Expected to ship within 12 - 17 working days

First published

2020

Authors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

257

Edition

1st ed. 2020

ISBN-13

978-981-13-6515-7

Barcode

9789811365157

Categories

LSN

981-13-6515-6



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