Intelligent reduction of nuisance alarms in process control
(2003) SAIS-SSLS Joint Workshop, 2003- Abstract
- The proper handling of alarms is crucial to automated process control. Fault Detection and Isolation techniques have been widely researched to determine such alarms. In practice, many alarms are only distractive and do not represent a fault situation. Here a toolbox, that uses an expert system called LARA, is proposed that aims to reduce the occurrence of so-called nuisance alarms. It is based on a number of signal classifiers and can be easily extended with metrical abnormality predictors. In a first prototype, a significant reduction of the alarms in a biofueled District Heating Plant has been achieved.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/603882
- author
- Ahnlund, Jonas LU ; Bergquist, Tord LU ; Larsson, Jan Eric LU and Spaanenburg, Lambert LU
- organization
- publishing date
- 2003
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Novelty detection, Automatic process control, Expert system, Alarm system
- host publication
- Notes SAIS/SSLS Joint Workshop
- conference name
- SAIS-SSLS Joint Workshop, 2003
- conference location
- Örebro, Sweden
- conference dates
- 2003-04-10 - 2003-04-11
- language
- English
- LU publication?
- yes
- id
- 1fbabafa-9df4-42f4-ad9d-b7497caed436 (old id 603882)
- date added to LUP
- 2016-04-04 14:20:47
- date last changed
- 2018-11-21 21:19:46
@inproceedings{1fbabafa-9df4-42f4-ad9d-b7497caed436, abstract = {{The proper handling of alarms is crucial to automated process control. Fault Detection and Isolation techniques have been widely researched to determine such alarms. In practice, many alarms are only distractive and do not represent a fault situation. Here a toolbox, that uses an expert system called LARA, is proposed that aims to reduce the occurrence of so-called nuisance alarms. It is based on a number of signal classifiers and can be easily extended with metrical abnormality predictors. In a first prototype, a significant reduction of the alarms in a biofueled District Heating Plant has been achieved.}}, author = {{Ahnlund, Jonas and Bergquist, Tord and Larsson, Jan Eric and Spaanenburg, Lambert}}, booktitle = {{Notes SAIS/SSLS Joint Workshop}}, keywords = {{Novelty detection; Automatic process control; Expert system; Alarm system}}, language = {{eng}}, title = {{Intelligent reduction of nuisance alarms in process control}}, year = {{2003}}, }