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

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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

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