eprintid: 10051702
rev_number: 21
eprint_status: archive
userid: 608
dir: disk0/10/05/17/02
datestamp: 2018-07-05 11:20:20
lastmod: 2021-09-23 22:48:51
status_changed: 2018-07-05 11:20:20
type: proceedings_section
metadata_visibility: show
creators_name: Attuati, S
creators_name: Farina, M
creators_name: Boem, F
creators_name: Parisini, T
title: Reducing false alarm rates in observer-based distributed fault detection schemes by analyzing moving averages
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: Model-based distributed fault detection, partition-based observers
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
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.
date: 2018
date_type: published
publisher: Elsevier
official_url: https://doi.org/10.1016/j.ifacol.2018.09.619
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1565721
doi: 10.1016/j.ifacol.2018.09.619
lyricists_name: Boem, Francesca
lyricists_id: FBOEM63
actors_name: Boem, Francesca
actors_id: FBOEM63
actors_role: owner
full_text_status: public
volume: 51
pagerange: 473-479
event_title: Safeprocess 2018, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 29-31 August 2018, Warsaw, Poland
institution: 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Safeprocess 2018
issn: 1474-6670
book_title: IFAC-PapersOnLine
citation:        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   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10051702/1/DF_dataseries_final_sub.pdf