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Bayesian Networks In Fault Diagnosis: Practice And Application

Edited by Baoping Cai, Edited by Yonghong Liu, Edited by Jinqiu Hu, Edited by Zengkai Liu, Edited by Shengnan Wu, Edited by Renjie Ji

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normal price: R 5 692.95

Price: R 5 123.95


| book description |

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.

| product details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | World Scientific Publishing Co Pte Ltd
Published date | 16 Oct 2018
Language |
Format | Hardback
Pages | 420
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8132-7148-7
Readership Age |
BISAC | mathematics / probability & statistics / bayesian analysis


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 5 883.95
Price | R 5 295.95 | on special |



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