All from one, one for all, failure diagnosis of discrete event systems using representatives
| dc.contributor.author | Pencolé, Yannick | en |
| dc.date.accessioned | 2026-01-01T06:40:36Z | |
| dc.date.available | 2026-01-01T06:40:36Z | |
| dc.date.issued | 2003 | en |
| dc.description.abstract | Failure diagnosis in large and complex systems is a critical and challenging task. In the realm of model based diagnosis on discrete event systems, computing a failure diagnosis means computing the set of system behaviours that could explain observations. Depending on the diagnosed system, such behaviours can be numerous, so that a problem of representing them is induced. The paper discusses about this problem and presents a way of representing a diagnosis by the use of a partial order reduction technique. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 5 | en |
| dc.identifier.issn | 1063-6730 | en |
| dc.identifier.scopus | 0345097621 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733798597 | |
| dc.language.iso | en | en |
| dc.relation.ispartofseries | Proceedings: 15th IEEE International Conference on Tools with artificial Intelligence | en |
| dc.source | Proceedings of the International Conference on Tools with Artificial Intelligence | en |
| dc.title | All from one, one for all, failure diagnosis of discrete event systems using representatives | en |
| dc.type | Conference paper | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 212 | en |
| local.bibliographicCitation.startpage | 208 | en |
| local.contributor.affiliation | Pencolé, Yannick; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.identifier.ariespublication | MigratedxPub17535 | en |
| local.identifier.pure | c5672510-8c71-4cc5-90e2-22103eeb2642 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/0345097621 | en |
| local.type.status | Published | en |