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An ensemble approach to estimate the fault-time instant
dc.contributor.author | Alippi, Cesare |
dc.contributor.author | Boracchi, Giacomo |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.author | Roveri, Manuel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2013-10-27T12:41:27Z |
dc.date.available | 2013-10-27T12:41:27Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Alippi, C. [et al.]. An ensemble approach to estimate the fault-time instant. A: International Conference on Intelligent Control and Information Processing. "013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP 2013). Proceedings". Piscataway: 2013, p. 836-841. |
dc.identifier.uri | http://hdl.handle.net/2117/20475 |
dc.description.abstract | Since systems are prone to faults, fault detection and isolation are essential activities to be considered in safety-critical applications. In this direction, the availability of a sound estimate of the time instant the fault occurred is a precious information that a diagnosis system can fruitfully exploit, e.g., to identify information consistent with the faulty state. Unfortunately,any fault-detection system introduces a structural delay that,typically, increases in correspondence of subtle faults (e.g., those characterized by a small magnitude) with a consequence that the fault-occurrence time is overestimated. In this paper we propose an ensemble approach to estimate the time instant a fault occurred. We focus on systems that can be described as ARMA models and faults inducing an abrupt change in the model coefficients. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.lcsh | Multivariate analysis |
dc.subject.other | autoregressive moving average processes condition monitoring fault diagnosis reliability |
dc.title | An ensemble approach to estimate the fault-time instant |
dc.type | Conference report |
dc.subject.lemac | Anàlisi multivariable |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.relation.publisherversion | http://home.deib.polimi.it/boracchi/docs/2013_06_Ensemble_of_CPM_ICICIP2013.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 12791796 |
dc.description.version | Postprint (published version) |
local.citation.author | Alippi, C.; Boracchi , G.; Puig, V.; Roveri, M. |
local.citation.contributor | International Conference on Intelligent Control and Information Processing |
local.citation.pubplace | Piscataway |
local.citation.publicationName | 013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP 2013). Proceedings |
local.citation.startingPage | 836 |
local.citation.endingPage | 841 |