The detection of multiple faults in a Bayesian setting using dynamic programming approaches

The detection of multiple faults in a Bayesian setting using dynamic programming approaches

©2020 Elsevier B.V. Inspired by the need for improving the reliability and safety of complex dynamic systems, this paper tackles the multiple faults detection problem using Dynamic Programming (DP) based methods under the Bayesian framework. These methods include (i) Maximum-A-Posteriori (MAP) es...

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Bibliographic Details
Main Authors: Habibi, Hamed, Howard, Ian, Habibi, R.
Format: Journal Article
Language:English
Published: ELSEVIER 2020
Subjects:
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Bayesian posterior
Bayesian model selection
Dynamic programming
Early warning system
Iterative MAP
MCMC
Probability of fault
Set Membership
SET-MEMBERSHIP IDENTIFICATION
CHANGE-POINTS
BINARY SEGMENTATION
SYSTEMS
Online Access:http://hdl.handle.net/20.500.11937/80596

Internet

http://hdl.handle.net/20.500.11937/80596

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