Attuati, S;
Farina, M;
Boem, F;
Parisini, T;
(2018)
Reducing false alarm rates in observer-based distributed fault detection schemes by analyzing moving averages.
In:
IFAC-PapersOnLine.
(pp. pp. 473-479).
Elsevier
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Abstract
In this paper, we first analyze the possible limitations of a model-based fault detection method grounded on a partition-based distributed Luenberger observer. The corresponding fault detection test consists of comparing, for each time instant, the output prediction error with a suitable bound, computed analytically in a distributed and scalable way As a result, we highlight the presence of an often restrictive tradeoff between false-alarm and missed-detection rates. To overcome this significant drawback, we resort to a method based on the analysis of moving averages of residuals. Tests on an academic case study show the effectiveness of this approach.
| Type: | Proceedings paper |
|---|---|
| Title: | Reducing false alarm rates in observer-based distributed fault detection schemes by analyzing moving averages |
| Event: | Safeprocess 2018, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 29-31 August 2018, Warsaw, Poland |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ifacol.2018.09.619 |
| Publisher version: | https://doi.org/10.1016/j.ifacol.2018.09.619 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Model-based distributed fault detection, partition-based observers |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051702 |
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