Distributed Fault Detection and Isolation with Imprecise Network Models
2012 (English)In: 2012 American Control Conference (ACC), IEEE Computer Society, 2012, 5906-5911 p.Conference paper (Refereed)
In this paper we consider the problem of Distributed Fault Detection and Isolation (D-FDI) in large networked systems with imprecise models. Taking a previously proposed D-FDI scheme for a given initial network model, we analyze its performance under small changes in the network graph, namely the addition or removal of edges. Under some assumptions, it is shown that for this kind of perturbations there exist suitable thresholds for which fault detection and isolation is achieved. As our second contribution, we propose solutions to accomplish D-FDI with considerably lower computational burden, while handling imprecise network models. Numerical experiments demonstrating the effectiveness of the proposed solution are presented, taking the IEEE 118 bus power network as an example.
Place, publisher, year, edition, pages
IEEE Computer Society, 2012. 5906-5911 p.
, Proceedings of the American Control Conference, ISSN 0743-1619
Fault detection, Image edge detection, Knowledge engineering, Monitoring, Nickel, Observers, Vectors
IdentifiersURN: urn:nbn:se:kth:diva-103335ISI: 000310776206035ScopusID: 2-s2.0-84869441911ISBN: 978-1-4577-1096-4OAI: oai:DiVA.org:kth-103335DiVA: diva2:559775
American Control Conference (ACC), Montreal, QC, Canada, June 27-29, 2012
FunderSwedish Research Council, 2007-6350Swedish Research Council, 2009-4565Knut and Alice Wallenberg FoundationICT - The Next Generation
QC 201211132012-11-132012-10-102013-04-15Bibliographically approved