Robust Fault Detection of Linear Systems using a Computationally Efficient Set-membership Method

Seyed Mojtaba Tabatabaeipour, Thomas Bak

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Abstrakt

In this paper, a computationally efficient set-membership method for robust fault detection of linear systems is proposed. The method computes an interval outerapproximation of the output of the system that is consistent with the model, the bounds on noise and disturbance, and the past measurements. If the output of the system does not belong to this interval, a fault is detected. To compute the output interval, we propose using support functions. Only two support functions for each output must be computed which results in a computationally efficient algorithm. Moreover, the method is trivially parallelizable. The method is demonstrated for fault detection of a hydraulic pitch actuator of a wind turbine. We show the effectiveness of the proposed method by comparing our results with two zonotope-based set-membership methods.

Published in:
OriginalsprogEngelsk
TitelControl Applications (CCA), 2014 IEEE Conference on
Antal sider6
ForlagIEEE Press
Publikationsdato2014
Sider358-363
ISBN (Trykt)978-1-4799-7408-5
DOI
StatusUdgivet - 2014
Begivenhed2014 IEEE Conference on Control Applications - Juan Les Antibes, Frankrig
Varighed: 8 okt. 201410 okt. 2014
Konferencens nummer: 35444

Konference

Konference2014 IEEE Conference on Control Applications
Nummer35444
LandFrankrig
ByJuan Les Antibes
Periode08/10/201410/10/2014
NavnI E E E International Conference on Control Applications. Proceedings
ISSN1085-1992

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  • Citationsformater

    Tabatabaeipour, S. M., & Bak, T. (2014). Robust Fault Detection of Linear Systems using a Computationally Efficient Set-membership Method. I Control Applications (CCA), 2014 IEEE Conference on (s. 358-363). IEEE Press. I E E E International Conference on Control Applications. Proceedings https://doi.org/10.1109/CCA.2014.6981372