Description: Bayesian Networks for Reliability Engineering Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang Format: Hardback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811365157, 978-9811365157 Synopsis 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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Location: Aldershot
End Time: 2024-12-03T11:01:50.000Z
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Book Title: Bayesian Networks for Reliability Engineering
Number of Pages: 257 Pages
Language: English
Publication Name: Bayesian Networks for Reliability Engineering
Publisher: Springer Verlag, Singapore
Publication Year: 2019
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 571 g
Type: Textbook
Author: Yuanjiang Chang, Baoping Cai, Zengkai Liu, Lei Jiang, Yonghong Liu
Subject Area: Electrical Engineering
Item Width: 155 mm
Format: Hardcover