Bayesian Networks for Reliability Engineering - Tapa blanda

Cai, Baoping; Liu, Yonghong; Liu, Zengkai; Chang, Yuanjiang; Jiang, Lei

 
9789811365188: Bayesian Networks for Reliability Engineering
Tapa blanda
ISBN 10: 9811365180 ISBN 13: 9789811365188
Editorial: Springer, 2020

Sinopsis

 
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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Acerca del autor

Baoping Cai is an associate professor at the China University of Petroleum (East China), a visiting researcher of the "Hong Kong Scholar" program at the City University of Hong Kong, and a visiting researcher at the Norwegian University of Science and Technology. He is an associate editor of IEEE Access (SCI journal) and Human-Centric Computing and Information Sciences (SCI journal), an editorial board member of 3 international journals, and a leading guest editor of 1 international journal. His research interests include reliability engineering, fault diagnosis, risk analysis, and Bayesian networks methodology and application. Up to now, he has published 65 SCI-index journal papers, 4 monographs, and holds 37 patents.

De la contraportada

 
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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
9811365180
ISBN 13 
9789811365188
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
268
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9789811365157: Bayesian Networks for Reliability Engineering

Edición Destacada

ISBN 10:  9811365156 ISBN 13:  9789811365157
Editorial: Springer, 2019
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