Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/CDC.2006.376797 | PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 |
Keywords | DocType | ISSN |
sensor networks,dynamic systems,hypothesis test,sensor fusion,kalman filter,sensor network,dynamic system,kalman filters | Conference | 0743-1546 |
Citations | PageRank | References |
14 | 0.86 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| eduardo l franco | 1 | 14 | 0.86 |
| Reza Olfati-Saber | 2 | 8066 | 549.43 |
| thomas parisini | 3 | 52 | 3.96 |
| Marios Polycarpou | 4 | 2020 | 206.96 |