A wavelet-based algorithm without a priori knowledge of noise level for gross errors detection
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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Advances in Intelligent Systems . ed. / Ford Lumban Gaol; Zenon Chaczko; Kiyota Hashimoto; Tokoro Matsuo; William Grosky. Southampton (UK): WIT Press, 2014. p. 9-16 (WIT Transactions on Information and Communication Technologies; Vol. 53).
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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TY - CHAP
T1 - A wavelet-based algorithm without a priori knowledge of noise level for gross errors detection
AU - Mercorelli, Paolo
N1 - Extended paper from the International Conference on Advances in Intelligent Systems in Bioinformatics (2013), Atlantis Press.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Engineering
KW - Fault detection
KW - Industrial applications
KW - Wavelets
UR - http://www.scopus.com/inward/record.url?scp=84903448910&partnerID=8YFLogxK
U2 - 10.2495/Intelsys130021
DO - 10.2495/Intelsys130021
M3 - Contributions to collected editions/anthologies
SN - 978-184564869-5
T3 - WIT Transactions on Information and Communication Technologies
SP - 9
EP - 16
BT - Advances in Intelligent Systems
A2 - Gaol, Ford Lumban
A2 - Chaczko, Zenon
A2 - Hashimoto, Kiyota
A2 - Matsuo, Tokoro
A2 - Grosky, William
PB - WIT Press
CY - Southampton (UK)
ER -