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Conference paper

Timing Aspects in Causality Analysis with Multilevel Flow Modelling

In Proceedings of 11th Ifac Symposium on Fault Detection, Supervision and Safety for Technical Processes Safeprocess 2022 — 2022, pp. 649-654

By Kirchhübel, Denis1,2,3; Lefebvre, Dimitri4; Lind, Morten1,2,3,5; Lmansouri, Safae4,6; Myllerup, Claus7

From

Automation and Control, Department of Electrical and Photonics Engineering, Technical University of Denmark1

Department of Electrical and Photonics Engineering, Technical University of Denmark2

Department of Electrical Engineering, Technical University of Denmark3

University of Le Havre4

Danish Offshore Technology Centre, Technical University of Denmark5

Université du Havre6

Kairos Technology ApS7

Temporal aspects of multilevel flow modelling (MFM) are important for reasoning about causes and consequences. In particular real time reasoning about sensor data are dependent on proper temporal ordering of events in order to cope with plant dynamics. The purpose of the present paper is to contribute to the further development of the temporal aspects of MFM by explaining how time stamps associated to the measured signals can be used to enhance the causality analysis and infer the possible causes of a sequence of alarms.

Language: English
Publisher: Elsevier
Year: 2022
Edition: 6
Pages: 649-654
Proceedings: 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes
Types: Conference paper
DOI: 10.1016/j.ifacol.2022.07.201
ORCIDs: Kirchhübel, Denis and Lind, Morten
Keywords

Causality analysis Fault diagnosis Multilevel flow modeling Timing analysis

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