Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Associative data mining for alarm groupings in chemical processes

Authors
Savo Kordic1, Peng Lam, Jitian Xiao, Huaizhong Li
1Edith Cowan University, Perth, Western Australia
Corresponding Author
Savo Kordic
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.150How to use a DOI?
Keywords
chemical plants, associative data mining, frequent episodes, alarm logs
Abstract

Complex industrial processes such as nuclear power plants, chemical plants and petroleum refineries are usually equipped with alarm systems capable of monitoring thousands of process variables and generating tens of thousands of alarms which are used as mechanisms for alerting operators to take actions to alleviate or prevent an abnormal situation. Over-alarming and a lack of configuration management practices have often led to the degradation of these alarm systems, resulting in operational problems such as the Three-Mile Island accident. In order to aid alarm rationalization, this paper proposed an approach that incorporates a context-based segmentation approach with a data mining technique to find a set of correlated alarms from historical alarm event logs. Before the set of extracted results from this automated technique are used they can be evaluated by a process engineer with process understanding. The proposed approach is evaluated initially using simulation data from a Vinyl Acetate model. The approach is cost effective as any manual alarm analysis of the event logs for identifying primary and consequential alarms could be very time and labour intensive.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.150How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Savo Kordic
AU  - Peng Lam
AU  - Jitian Xiao
AU  - Huaizhong Li
PY  - 2007/10
DA  - 2007/10
TI  - Associative data mining for alarm groupings in chemical processes
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 878
EP  - 885
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.150
DO  - https://doi.org/10.2991/iske.2007.150
ID  - Kordic2007/10
ER  -