Sammanfattning
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.
| Originalspråk | engelska |
|---|---|
| Titel på värdpublikation | Notes SAIS/SSLS Joint Workshop |
| Status | Published - 2003 |
| Evenemang | SAIS-SSLS Joint Workshop, 2003 - Örebro, Sverige Varaktighet: 2003 apr. 10 → 2003 apr. 11 |
Workshop
| Workshop | SAIS-SSLS Joint Workshop, 2003 |
|---|---|
| Land/Territorium | Sverige |
| Ort | Örebro |
| Period | 2003/04/10 → 2003/04/11 |
Ämnesklassifikation (UKÄ)
- Elektroteknik och elektronik