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Intelligent reduction of nuisance alarms in process control

In English

Författare

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.

Publiceringsår

2003

Språk

Engelska

Publikation/Tidskrift/Serie

Notes SAIS/SSLS Joint Workshop

Dokumenttyp

Konferensbidrag

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Nyckelord

  • 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