Imperial College London
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ProfessorThomasParisini

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Industrial Control, Head of Group for CAP
 
 
 
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Contact

 

+44 (0)20 7594 6240t.parisini Website

 
 
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Location

 

1114Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Franco:2006:10.1109/cdc.2006.376797,
author = {Franco, E and Olfati-Saber, R and Parisini, T and Polycarpou, MM},
doi = {10.1109/cdc.2006.376797},
pages = {386--391},
title = {Distributed fault diagnosis using sensor networks and consensus-based filters},
url = {http://dx.doi.org/10.1109/cdc.2006.376797},
year = {2006}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - This paper considers the problem of designing distributed fault diagnosis algorithms for dynamic systems using sensor networks. A network of distributed estimation agents is designed where a bank of local Kalman filters is embedded into each sensor. The diagnosis decision is performed by a distributed hypothesis testing method that relies on a belief consensus algorithm. Under certain assumptions, both the distributed estimation and the diagnosis algorithms are derived from their centralized counterparts thanks to dynamic average-consensus techniques. Simulation results are provided to demonstrate the effectiveness of the proposed architecture and algorithm. © 2006 IEEE.
AU  - Franco,E
AU  - Olfati-Saber,R
AU  - Parisini,T
AU  - Polycarpou,MM
DO  - 10.1109/cdc.2006.376797
EP  - 391
PY  - 2006///
SN  - 0743-1546
SP  - 386
TI  - Distributed fault diagnosis using sensor networks and consensus-based filters
UR  - http://dx.doi.org/10.1109/cdc.2006.376797
ER  -
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