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Reducing false alarm rates in observer-based distributed fault detection schemes by analyzing moving averages

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 Green open access

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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 > Provost and Vice Provost Offices
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: http://discovery.ucl.ac.uk/id/eprint/10051702
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