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Intelligent reduction of nuisance alarms in process control

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Author

Summary, in English

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.

Publishing year

2003

Language

English

Publication/Series

Notes SAIS/SSLS Joint Workshop

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • Novelty detection
  • Automatic process control
  • Expert system
  • Alarm system

Conference name

SAIS-SSLS Joint Workshop, 2003

Conference date

2003-04-10 - 2003-04-11

Conference place

Örebro, Sweden

Status

Published