1. Bayesian Networks for Reliability Engineering
- Author
-
Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang, Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, and Lei Jiang
- Subjects
- Bayesian statistical decision theory, Reliability (Engineering)--Mathematical models
- Abstract
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.
- Published
- 2020