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

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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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  -