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Set-membership Identification and Fault Detection using a Bayesian Framework

Author
Rosa M. Fernandez-Canti; Blesa, J.; Puig, V.
Type of activity
Presentation of work at congresses
Name of edition
2nd International Conference on Control and Fault-Tolerant Systems
Date of publication
2013
Presentation's date
2013-10-10
Book of congress proceedings
Systol 2013: 2nd International Conference on Control and Fault-Tolerant Systems: final program & book of abstracts: October 9-11, 2013: Hotel Le Negresco, Nice, France
First page
572
Last page
577
DOI
https://doi.org/10.1109/SysTol.2013.6693825 Open in new window
Project funding
Analysis and Design of distributed optimal control strategies applied to large-scale WATer systems MANagement (WATMAN)
MAKING SENSE OF NONSENSE
SHERECS (DPI2011-26243)
Repository
http://hdl.handle.net/2117/22489 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6693825 Open in new window
Abstract
This paper deals with the problem of set-membership identification and fault detection using a Bayesian framework. The paper presents how the set-membership model estimation problem can be reformulated from a Bayesian viewpoint in order to determine the feasible parameter set and, in a posterior fault detection stage, to check the consistency between data and the model. The paper shows that, assuming uniform distributed measurement noise and flat model prior probability distribution, the Bayesia...
Citation
Fernández-Cantí, R. M.; Blesa, J.; Puig, V. Set-membership Identification and Fault Detection using a Bayesian Framework. A: International Conference on Control and Fault-Tolerant Systems. "Systol 2013: 2nd International Conference on Control and Fault-Tolerant Systems: final program & book of abstracts: October 9-11, 2013: Hotel Le Negresco, Nice, France". Niça: 2013, p. 572-577.
Keywords
Bayesian Framework, Fault Detection, Identification, Set-membership
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants