Franco, Elisa and Olfati-Saber, Reza and Parisini, Thomas and Polycarpou, Marios M. (2006) Distributed Fault Diagnosis using Sensor Networks and Consensus-based Filters. In: Proceedings of the 45th IEEE Conference on Decision and Control. IEEE , Piscataway, NJ, pp. 386-391. ISBN 1-4244-0171-2. https://resolver.caltech.edu/CaltechAUTHORS:20170501-174658779
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Abstract
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.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 2006 IEEE. This work has been partially supported by the Italian Ministry for University and Research. | |||||||||
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| DOI: | 10.1109/CDC.2006.376797 | |||||||||
| Record Number: | CaltechAUTHORS:20170501-174658779 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170501-174658779 | |||||||||
| Official Citation: | E. Franco, R. Olfati-Saber, T. Parisini and M. M. Polycarpou, "Distributed Fault Diagnosis using Sensor Networks and Consensus-based Filters," Proceedings of the 45th IEEE Conference on Decision and Control, San Diego, CA, 2006, pp. 386-391. doi: 10.1109/CDC.2006.376797 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 77114 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | INVALID USER | |||||||||
| Deposited On: | 03 May 2017 18:20 | |||||||||
| Last Modified: | 15 Nov 2021 17:28 |
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