The book "Bayesian Networks for Reliability Engineering" provides a comprehensive bibliographic overview of the use of Bayesian Networks (BN) in the field of reliability engineering over the past ten years. Bayesian Networks are considered one of the most powerful models for probabilistic knowledge representation and inference, and they are increasingly applied in reliability analysis. The focus of the book is initially on engineering systems, followed by an in-depth discussion of twelve essential topics related to BN-based reliability methods. These topics include, among others, modeling the BN structure, parameterization, inference, as well as validation and verification. This work serves as a valuable resource for researchers and practitioners in the field of reliability engineering.