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A wavelet-based algorithm without a priori knowledge of noise level for gross errors detection

Publikation: Beiträge in Sammelwerken › Aufsätze in Sammelwerken › Forschung › begutachtet

Authors

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. At the end of the paper, results using real sensor measurements from industrial processes are presented.

OriginalspracheEnglisch
TitelAdvances in Intelligent Systems
HerausgeberFord Lumban Gaol, Zenon Chaczko, Kiyota Hashimoto, Tokoro Matsuo, William Grosky
Anzahl der Seiten8
ErscheinungsortSouthampton (UK)
VerlagWIT Press
Erscheinungsdatum2014
Seiten9-16
ISBN (Print)978-184564869-5
ISBN (elektronisch)978-1-84564-870-1
DOIs
PublikationsstatusErschienen - 2014

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DOI

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