期刊全稱 | Bayesian Networks for Reliability Engineering | 影響因子2023 | Baoping Cai,Yonghong Liu,Lei Jiang | 視頻video | http://file.papertrans.cn/182/181867/181867.mp4 | 發(fā)行地址 | Provides a detailed review of the BN-based reliability methodologies.Presents important theoretical methods for BN-based reliability.Uses 12 practical engineering cases to illustrate the proposed meth | 圖書封面 |  | 影響因子 | ?.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.. | Pindex | Book 2020 |
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