PDF Ebook Bayesian Networks for Reliability Engineering
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Bayesian Networks for Reliability Engineering
PDF Ebook Bayesian Networks for Reliability Engineering
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From the Back Cover
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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About the Author
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.
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Product details
Hardcover: 257 pages
Publisher: Springer; 1st ed. 2020 edition (March 1, 2019)
Language: English
ISBN-10: 9811365156
ISBN-13: 978-9811365157
Product Dimensions:
6.1 x 0.6 x 9.2 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
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Amazon Best Sellers Rank:
#3,292,803 in Books (See Top 100 in Books)
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