On improving fault detection and diagnosis using alarm-range normalisation
File(s)
Author(s)
Lucke, Matthieu
Chioua, Moncef
Grimholt, Chriss
Hollender, Martin
Thornhill, Nina F
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.
Date Issued
2018-08-29
Date Acceptance
2018-05-19
Citation
IFAC-PapersOnLine, 2018, 51 (24), pp.1227-1232
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
Commission of the European Communities
ABB Switzerland Ltd.
ABB Switzerland Ltd.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000447016900179&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
675215
N/A
N/A
Subjects
Alarm systems
Fault detection and diagnosis
Alarm flood analysis
PREDICTION
Publication Status
Published
Coverage Spatial
Warsaw, POLAND
Date Publish Online
2018-10-11