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
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.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys) |
| Number of pages | 6 |
| Place of Publication | Amsterdam |
| Publisher | Atlantis Press |
| Publication date | 02.2014 |
| Pages | 7-12 |
| ISBN (print) | 978-94-6252-000-4 |
| Publication status | Published - 02.2014 |
Bibliographical note
The paper was presented in the International Conference on Advances in Intelligent Systems in Bioinformatics (Jakarta, Indonesia, 2013) and was published in Febraury 2014. An Extended Version of this work was published in 2014 by WIT Press, in "Transactions on Information and Communication Technologies" in vol. 53, pages 9-16.
- Engineering