Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/96246
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Adaptive threshold generation in robust fault detection using interval models: time-domain and frequency-domain approaches |
Autor: | Puig, Vicenç CSIC ORCID ; Montes de Oca, Saúl; Blesa, Joaquim CSIC ORCID | Palabras clave: | Frequency domain Time domain Zonotopes Adaptive threshold Robust fault detection |
Fecha de publicación: | 2013 | Editor: | John Wiley & Sons | Citación: | International Journal of Adaptive Control and Signal Processing 27(10): 873-901 (2013) | Resumen: | 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 worst-case 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. Copyright © 2012 John Wiley & Sons, Ltd. | Versión del editor: | http://dx.doi.org/10.1002/acs.2362 | URI: | http://hdl.handle.net/10261/96246 | DOI: | 10.1002/acs.2362 | Identificadores: | doi: 10.1002/acs.2362 issn: 0890-6327 e-issn: 1099-1115 |
Aparece en las colecciones: | (IRII) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Adaptive threshold.pdf | 1,55 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
29
checked on 22-abr-2024
WEB OF SCIENCETM
Citations
27
checked on 27-feb-2024
Page view(s)
320
checked on 22-abr-2024
Download(s)
413
checked on 22-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.