%0 Generic
%A Attuati, S
%A Farina, M
%A Boem, F
%A Parisini, T
%D 2018
%F discovery:10051702
%I Elsevier
%K Model-based distributed fault detection, partition-based observers
%P 473-479
%T Reducing false alarm rates in observer-based distributed fault detection schemes by analyzing moving averages
%U https://discovery.ucl.ac.uk/id/eprint/10051702/
%V 51
%X 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.
%Z This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.