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A fault/anomaly system prognosis using a data-driven approach considering uncertainty

Autor
Escobet, T.; Quevedo, J.; Puig, V.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
WCCI - IEEE World Congress on Computational Intelligence
Any de l'edició
2012
Data de presentació
2012-06-12
Llibre d'actes
IEEE World Congress on Computational Intelligence
Pàgina inicial
2325
Pàgina final
2331
DOI
https://doi.org/10.1109/IJCNN.2012.6252688 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/17073 Obrir en finestra nova
Resum
This paper presents a data-driven prognostic strategy for failure prediction and computing the remaining useful life (RUL) using an autoregressive (AR) model combined with the recursive least squares (RLS) algorithm. The proposed method not only provides an estimation of the remaining useful life (RUL), but also a confidence interval based on modeling the uncertainty as a probabilistic Gaussian variable. To illustrate the performance of the proposed approach, a conveyor belt system that uses an ...
Citació
Escobet, T.; Quevedo, J.; Puig, V. A fault/anomaly system prognosis using a data-driven approach considering uncertainty. A: IEEE World Congress on Computational Intelligence. "IEEE World Congress on Computational Intelligence". Brisbane: 2012, p. 2325-2331.
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants