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Rule-based reduction of alarm signals in industrial control

Ahnlund, Jonas LU ; Bergquist, Tord LU and Spaanenburg, Lambert LU (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)
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author
organization
publishing date
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
2007-08-22 07:49:37
date last changed
2018-01-07 08:39:11
@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},
  keyword      = {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},
  volume       = {14},
  year         = {2003},
}