Bayesian Networks In Fault Diagnosis: Practice And Application (Hardcover)

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.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Release date:	September 2018
First published:	2019
Editors:	Baoping Cai • Yonghong Liu • Jinqiu Hu • Zengkai Liu • Shengnan Wu • Renjie Ji
Format:	Hardcover
Pages:	420
ISBN-13:	978-981-3271-48-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	981-3271-48-5
Barcode:	9789813271487

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