Mostra el registre d'ítem simple
Fault diagnosis based on causal computations
dc.contributor.author | Rosich Oliva, Albert |
dc.contributor.author | Frisk, Erik |
dc.contributor.author | Åslund, Jan |
dc.contributor.author | Sarrate Estruch, Ramon |
dc.contributor.author | Nejjari Akhi-Elarab, Fatiha |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2012-02-22T13:16:34Z |
dc.date.available | 2012-02-22T13:16:34Z |
dc.date.created | 2012-03-23 |
dc.date.issued | 2012-03-23 |
dc.identifier.citation | Rosich, A. [et al.]. Fault diagnosis based on causal computations. "IEEE transactions on systems man and cybernetics Part A-systems and humans", 23 Març 2012, vol. 42, núm. 2, p. 371-381. |
dc.identifier.issn | 1083-4427 |
dc.identifier.uri | http://hdl.handle.net/2117/15308 |
dc.description.abstract | This paper focuses on residual generation for model-based fault diagnosis. Specifically, a methodology to derive residual generators when nonlinear equations are present in the model is developed. A main result is the characterization of computation sequences that are particularly easy to implement as residual generators and that take causal information into account. An efficient algorithm, based on the model structure only, which finds all such computation sequences, is derived. Furthermore, fault detectability and isolability performances depend on the sensor configuration. Therefore, another contribution is an algorithm, also based on the model structure, that places sensors with respect to the class of residual generators that take causal information into account. The algorithms are evaluated on a complex highly nonlinear model of a fuel cell stack system. A number of residual generators that are, by construction, easy to implement are computed and provide full diagnosability performance predicted by the model. |
dc.format.extent | 11 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::Informàtica::Automàtica i control |
dc.subject.lcsh | Diagnosis -- Mathematical models |
dc.subject.lcsh | Fuel cells |
dc.title | Fault diagnosis based on causal computations |
dc.type | Article |
dc.subject.lemac | Piles de combustible |
dc.subject.lemac | Diagnòstic -- Mètodes estadístics |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1109/TSMCA.2011.2164063 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Restricted access - author's decision |
local.identifier.drac | 8950396 |
dc.description.version | Postprint (published version) |
local.citation.author | Rosich, A.; Frisk, E.; Åslund, J.; Sarrate, R.; Nejjari, F. |
local.citation.publicationName | IEEE transactions on systems man and cybernetics Part A-systems and humans |
local.citation.volume | 42 |
local.citation.number | 2 |
local.citation.startingPage | 371 |
local.citation.endingPage | 381 |
Fitxers d'aquest items
Aquest ítem apareix a les col·leccions següents
-
Articles de revista [1.394]
-
Articles de revista [508]