Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics

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A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection

Authors
Paolo Mercorelli
Corresponding Author
Paolo Mercorelli
Available Online January 2014.
Keywords
Fault detection, Wavelets, Industrial applications
Abstract

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.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics
Series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
null
ISSN
1951-6851
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Paolo Mercorelli
PY  - 2014/01
DA  - 2014/01
TI  - A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection
BT  - Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics
PB  - Atlantis Press
SP  - 7
EP  - 12
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/11350
ID  - Mercorelli2014/01
ER  -