Bayesian Networks for Reliability Engineering

Baoping Cai, Yonghong Liu, Yuanjiang Chang, et al.

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

 
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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Schlagwörter

Parameter Modeling, Reliability Evaluation, Structure Modeling, Bayesian Networks, Safety Instrumented System, quality control, reliability, safety and risk