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Adaptive threshold generation in robust fault detection using interval models: Time-domain and frequency-domain approaches
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.author | Montes de Oca Armeaga, Saul |
dc.contributor.author | Blesa Izquierdo, Joaquim |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.date.accessioned | 2014-01-15T12:15:53Z |
dc.date.created | 2013-10 |
dc.date.issued | 2013-10 |
dc.identifier.citation | Puig, V.; Montes de Oca, S.; Blesa, J. Adaptive threshold generation in robust fault detection using interval models: Time-domain and frequency-domain approaches. "International journal of adaptive control and signal processing", Octubre 2013, vol. 27, núm. 10, p. 873-901. |
dc.identifier.issn | 0890-6327 |
dc.identifier.uri | http://hdl.handle.net/2117/21245 |
dc.description.abstract | In this paper, robust fault detection is addressed on the basis of evaluating the residual energy that it is compared against worst-case value (threshold) generated considering parametric modeling uncertainty using interval models. The evaluation of the residual/threshold energy can be performed either in the time or frequency domain. This paper proposes methods to compute such energy in the two domains. The first method generates the adaptive threshold in the time domain through determining the worst-case time evolution of the residual energy using a zonotope-based algorithm. The second method evaluates the worstcase energy evolution in the frequency domain using the Kharitonov polynomials. Results obtained using both approaches are related through the Parseval’s theorem. Finally, two application examples (a smart servoactuator and a two DOFs helicopter) will be used to assess the validity of the proposed approaches and compare the results obtained. |
dc.format.extent | 29 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.lcsh | System failures (Engineering) |
dc.subject.lcsh | Robust control |
dc.subject.other | adaptive threshold |
dc.subject.other | frequency domain |
dc.subject.other | Robust fault detection |
dc.subject.other | time domain |
dc.subject.other | zonotopes |
dc.title | Adaptive threshold generation in robust fault detection using interval models: Time-domain and frequency-domain approaches |
dc.type | Article |
dc.subject.lemac | Control de robustesa |
dc.subject.lemac | Errors de sistemes (Enginyeria) |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.contributor.group | Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control |
dc.identifier.doi | 10.1002/acs.2362 |
dc.relation.publisherversion | http://onlinelibrary.wiley.com/doi/10.1002/acs.2362/full |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 12882678 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/270428/EU/Making Sense of Nonsense/ISENSE |
dc.date.lift | 10000-01-01 |
local.citation.author | Puig, V.; Montes de Oca, S.; Blesa, J. |
local.citation.publicationName | International journal of adaptive control and signal processing |
local.citation.volume | 27 |
local.citation.number | 10 |
local.citation.startingPage | 873 |
local.citation.endingPage | 901 |
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