Items related to Bayesian Networks In Fault Diagnosis: Practice And...

Bayesian Networks In Fault Diagnosis: Practice And Application - Hardcover

Baoping Cai; Yonghong Liu; Jinqiu Hu; Zengkai Liu; Shengnan Wu; Renjie Ji

 
9789813271487: Bayesian Networks In Fault Diagnosis: Practice And Application
Hardcover
ISBN 10: 9813271485 ISBN 13: 9789813271487
Publisher: World Scientific Publishing Company, 2018

Synopsis

Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis.

This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases.

Researchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system.

"synopsis" may belong to another edition of this title.

Publisher
World Scientific Publishing Company
Publication date
2018
Language
English
ISBN 10 
9813271485
ISBN 13 
9789813271487
Binding
Hardcover
Number of pages
420