Using haar wavelets for fault detection in technical processes
Publikation: Beiträge in Zeitschriften › Konferenzaufsätze in Fachzeitschriften › Forschung › begutachtet
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This paper deals with Gross Error Detection using a signal-based approach and proposes an algorithm to be applied in industrial processes. The developed algorithm is used in some industrial software platforms to detect sensor outliers. A validation of this algorithm through computer simulations is shown. Results using real sensor measurements from industrial processes are reported at the end of the paper.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | IFAC-PapersOnLine |
| Jahrgang | 48 |
| Ausgabenummer | 4 |
| Seiten (von - bis) | 37-42 |
| Anzahl der Seiten | 6 |
| ISSN | 2405-8971 |
| DOIs | |
| Publikationsstatus | Erschienen - 01.06.2015 |
| Veranstaltung | 13th IFAC and IEEE Conference on Programmable Devices and Embedded Systems - PDeS 2015 - Silesian University of Technology, Krakau, Polen Dauer: 13.05.2015 → 15.05.2015 Konferenznummer: 13 http://pdes.polsl.pl/ https://www.ifac-control.org/events/programmable-devices-and-embedded-systems-13th-pdes-2015 |
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Using haar wavelets for fault detection in technical processes
Aktivität: Vorträge und Gastvorlesungen › Konferenzvorträge › Forschung