Causal analysis for alarm flood reduction
(2016) IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS) 2016 In IFAC-PapersOnLine 49(7). p.723-728- Abstract
- The introduction of distributed control systems and the high level of interconnectivity of modern process plants has caused alarm flooding to become one of the main problems in alarm management of process plants. A reduction of alarm flood periods contributes to a decrease in plant incidents. In this work, a combination of alarm log, process data and connectivity analysis is used to isolate consequence alarms originating from the same process abnormality and to provide a causal alarm suggestion. The effectiveness of the method is illustrated on an industrial case study of an ethylene plant, a typical example of a large-scale industrial system.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/bd92ffc6-2c79-4af4-aa74-c648c9072fa7
- author
- Rodrigo, Vicent ; Chioua, Moncef ; Hägglund, Tore LU and Hollender, Martin
- organization
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- approximate sequence matching, large-scale systems, alarm systems, fault detection and diagnosis, root-cause, plant-wide disturbance, plant connectivity
- host publication
- 11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems
- series title
- IFAC-PapersOnLine
- volume
- 49
- issue
- 7
- pages
- 723 - 728
- publisher
- IFAC
- conference name
- IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS) 2016
- conference location
- Trondheim, Norway
- conference dates
- 2016-06-06 - 2016-06-08
- external identifiers
-
- scopus:84991032325
- wos:000381504800122
- ISSN
- 2405-8963
- DOI
- 10.1016/j.ifacol.2016.07.269
- project
- PICLU
- language
- English
- LU publication?
- yes
- id
- bd92ffc6-2c79-4af4-aa74-c648c9072fa7
- date added to LUP
- 2017-01-12 16:34:33
- date last changed
- 2022-02-22 00:03:22
@inproceedings{bd92ffc6-2c79-4af4-aa74-c648c9072fa7, abstract = {{The introduction of distributed control systems and the high level of interconnectivity of modern process plants has caused alarm flooding to become one of the main problems in alarm management of process plants. A reduction of alarm flood periods contributes to a decrease in plant incidents. In this work, a combination of alarm log, process data and connectivity analysis is used to isolate consequence alarms originating from the same process abnormality and to provide a causal alarm suggestion. The effectiveness of the method is illustrated on an industrial case study of an ethylene plant, a typical example of a large-scale industrial system.}}, author = {{Rodrigo, Vicent and Chioua, Moncef and Hägglund, Tore and Hollender, Martin}}, booktitle = {{11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems}}, issn = {{2405-8963}}, keywords = {{approximate sequence matching; large-scale systems; alarm systems; fault detection and diagnosis; root-cause; plant-wide disturbance; plant connectivity}}, language = {{eng}}, number = {{7}}, pages = {{723--728}}, publisher = {{IFAC}}, series = {{IFAC-PapersOnLine}}, title = {{Causal analysis for alarm flood reduction}}, url = {{http://dx.doi.org/10.1016/j.ifacol.2016.07.269}}, doi = {{10.1016/j.ifacol.2016.07.269}}, volume = {{49}}, year = {{2016}}, }