Distributed fault detection using consensus of Markov chains

Jovanović, Degan P. and Pollett, Philip K. (2014). Distributed fault detection using consensus of Markov chains. In Honglei Xu and Xiangyu Wang (Ed.), Optimization and control methods in industrial engineering and construction (pp. 85-105) Dordrecht, The Netherlands: Springer. doi:10.1007/978-94-017-8044-5_6


Author Jovanović, Degan P.
Pollett, Philip K.
Title of chapter Distributed fault detection using consensus of Markov chains
Title of book Optimization and control methods in industrial engineering and construction
Place of Publication Dordrecht, The Netherlands
Publisher Springer
Publication Year 2014
Sub-type Research book chapter (original research)
DOI 10.1007/978-94-017-8044-5_6
Series Intelligent Systems, Control and Automation: Science and Engineering
ISBN 9789401780438
9789401780445
ISSN 2213-8994
2213-8986
Editor Honglei Xu
Xiangyu Wang
Volume number 72
Chapter number 6
Start page 85
End page 105
Total pages 21
Total chapters 15
Collection year 2015
Language eng
Abstract/Summary We propose a fault detection procedure appropriate for use in a variety of industrial engineering contexts, which employs consensus among a group of agents about the state of a system. Markov chains are used to model subsystem behaviour, and consensus is reached by way of an iterative method based on estimates of a mixture of the transition matrices of these chains. To deal with the case where system states cannot be observed directly, we extended the procedure to accommodate Hidden Markov Models.
Keyword Consensus algorithm
Fault detection
Hidden Markov Model (HMM)
Mixtures of Markov chains
Multi-agent systems
The EM algorithm
Q-Index Code B1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Book Chapter
Collections: School of Mathematics and Physics
Official 2015 Collection
 
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