On improving fault detection and diagnosis using alarm-range normalisation

File Description SizeFormat 
LuckeEtAl_AlarmRangeNormalization_IFACSafeProcess_2018_Accepted.pdfAccepted version1.03 MBAdobe PDFView/Open
Title: On improving fault detection and diagnosis using alarm-range normalisation
Authors: Lucke, M
Chioua, M
Grimholt, C
Hollender, M
Thornhill, NF
Item Type: Journal Article
Abstract: Alarm systems based on engineering and safety considerations are the prime source of information for operators when it comes to abnormal situations. Conversely, the presence of fault detection and diagnosis algorithms in process plants is still limited, in comparison with other process control technologies. This work presents a simple way to integrate the information contained in the alarm systems into the fault detection and diagnosis algorithm. A normalisation of the process measurements based on the alarm thresholds is proposed, improving the robustness of the algorithm with regard to the variability of the measurements across fault occurrences in industrial systems.
Issue Date: 29-Aug-2018
Date of Acceptance: 19-May-2018
URI: http://hdl.handle.net/10044/1/65392
DOI: https://dx.doi.org/10.1016/j.ifacol.2018.09.695
ISSN: 2405-8963
Publisher: IFAC Secretariat
Start Page: 1227
End Page: 1232
Journal / Book Title: IFAC-PapersOnLine
Volume: 51
Issue: 24
Copyright Statement: © 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Commission of the European Communities
ABB Switzerland Ltd.
ABB Switzerland Ltd.
Funder's Grant Number: 675215
Keywords: Alarm systems
Fault detection and diagnosis
Alarm flood analysis
Publication Status: Published
Conference Place: Warsaw, POLAND
Online Publication Date: 2018-10-11
Appears in Collections:Faculty of Engineering
Chemical Engineering

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commonsx