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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 languageEnglish
Title of host publicationInternational Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys)
Number of pages6
Place of PublicationAmsterdam
PublisherAtlantis Press
Publication date02.2014
Pages7-12
ISBN (print)978-94-6252-000-4
Publication statusPublished - 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.

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Research output: Journal contributions › Journal articles › Research › peer-review

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