Gei, C;
Boem, F;
Parisini, T;
(2018)
Optimal System Decomposition for Distributed Fault Detection: Insights and Numerical Results.
In:
IFAC-PapersOnLine.
(pp. pp. 578-585).
Elsevier
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Abstract
The paper deals with the problem of defining the optimal topology for a distributed fault detection architecture. A partition-based distributed fault detection method is considered based on the model of the system. The system is decomposed into subsystems and each subsystem is monitored by one local diagnoser. Non-overlapping decompositions are considered. A novel cost function is proposed to measure the detectability properties of a distributed fault detection method, depending on the topology of the detection framework. Different objective functions are taken into account and compared in order to analyze the influence of the decomposition on fault detection performance. Preliminary numerical results show that the minimization of the coupling between subsystems could not be always the best choice for the fault detection performance, and that the proposed cost function minimization allows the reduction of the detection time with the considered fault detection method.
Type: | Proceedings paper |
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Title: | Optimal System Decomposition for Distributed Fault Detection: Insights and Numerical Results |
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.2018.09.634 |
Publisher version: | https://doi.org/10.1016/j.ifacol.2018.09.634 |
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: | Fault detection, Distributed systems, Optimal decomposition, Topology |
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-pp.ucl.ac.uk/id/eprint/10051701 |
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