Bayesian Networks for Reliability Engineering
Author | : Baoping Cai |
Publisher | : Springer |
Total Pages | : 259 |
Release | : 2019-02-28 |
ISBN-10 | : 9789811365164 |
ISBN-13 | : 9811365164 |
Rating | : 4/5 (164 Downloads) |
Download or read book Bayesian Networks for Reliability Engineering written by Baoping Cai and published by Springer. This book was released on 2019-02-28 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.