Bayesian Networks In Fault Diagnosis: Practice And Application
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B01=Baoping Cai
B01=Jinqiu Hu
B01=Renjie Ji
B01=Shengnan Wu
B01=Yonghong Liu
B01=Zengkai Liu
Bayesian Networks
Category1=Non-Fiction
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COP=Singapore
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Fault Diagnosis
Language_English
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Price_€100 and above
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Product details
- ISBN 9789813271487
- Publication Date: 16 Oct 2018
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
- Language: English
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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.
