Rule-based reduction of alarm signals in industrial control
(2003) In Journal of Intelligent & Fuzzy Systems 14(2). p.73-84- Abstract
- The proper handling of alarms is crucial to any automated process control. In practice, many alarms are only distractive and do not represent a potentially dangerous situation. This paper presents a methodology and a computerized tool that aims to remove such nuisance alarms, a so-called alarm cleanup. This is a general, systematic approach that takes advantage of the control system's built-in functions, and is a first step to an improved overall alarm situation. By the strong reduction of the alarm count, the efficient construction of fault diagnosis and isolation models becomes feasible. In a typical case study, the number of alarms received at the remote control room of an operational bio-fueled District Heating Plant was effectively... (More)
- The proper handling of alarms is crucial to any automated process control. In practice, many alarms are only distractive and do not represent a potentially dangerous situation. This paper presents a methodology and a computerized tool that aims to remove such nuisance alarms, a so-called alarm cleanup. This is a general, systematic approach that takes advantage of the control system's built-in functions, and is a first step to an improved overall alarm situation. By the strong reduction of the alarm count, the efficient construction of fault diagnosis and isolation models becomes feasible. In a typical case study, the number of alarms received at the remote control room of an operational bio-fueled District Heating Plant was effectively reduced by 83%. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/280947
- author
- Ahnlund, Jonas LU ; Bergquist, Tord LU and Spaanenburg, Lambert LU
- organization
- publishing date
- 2003
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- processing, signal, expert system, alarm cleanup, process control, fault diagnosis, multilevel flow model
- in
- Journal of Intelligent & Fuzzy Systems
- volume
- 14
- issue
- 2
- pages
- 73 - 84
- publisher
- IOS Press
- external identifiers
-
- wos:000221014600002
- scopus:1842682661
- ISSN
- 1064-1246
- language
- English
- LU publication?
- yes
- id
- fc589771-e721-45e7-82d0-647bdbb292dc (old id 280947)
- alternative location
- http://search.ebscohost.com.ludwig.lub.lu.se/login.aspx?direct=true&db=a9h&AN=12393947&site=ehost-live
- date added to LUP
- 2016-04-01 15:30:22
- date last changed
- 2022-01-28 05:38:14
@article{fc589771-e721-45e7-82d0-647bdbb292dc,
abstract = {{The proper handling of alarms is crucial to any automated process control. In practice, many alarms are only distractive and do not represent a potentially dangerous situation. This paper presents a methodology and a computerized tool that aims to remove such nuisance alarms, a so-called alarm cleanup. This is a general, systematic approach that takes advantage of the control system's built-in functions, and is a first step to an improved overall alarm situation. By the strong reduction of the alarm count, the efficient construction of fault diagnosis and isolation models becomes feasible. In a typical case study, the number of alarms received at the remote control room of an operational bio-fueled District Heating Plant was effectively reduced by 83%.}},
author = {{Ahnlund, Jonas and Bergquist, Tord and Spaanenburg, Lambert}},
issn = {{1064-1246}},
keywords = {{processing; signal; expert system; alarm cleanup; process control; fault diagnosis; multilevel flow model}},
language = {{eng}},
number = {{2}},
pages = {{73--84}},
publisher = {{IOS Press}},
series = {{Journal of Intelligent & Fuzzy Systems}},
title = {{Rule-based reduction of alarm signals in industrial control}},
url = {{http://search.ebscohost.com.ludwig.lub.lu.se/login.aspx?direct=true&db=a9h&AN=12393947&site=ehost-live}},
volume = {{14}},
year = {{2003}},
}