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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

Standard

A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection. / Mercorelli, Paolo.
International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys). Amsterdam: Atlantis Press, 2014. p. 7-12 (Advances in Intelligent Systems Research).

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Harvard

Mercorelli, P 2014, A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection. in International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys). Advances in Intelligent Systems Research, Atlantis Press, Amsterdam, pp. 7-12. <https://www.atlantis-press.com/proceedings/intel-13/11350>

APA

Mercorelli, P. (2014). A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection. In International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys) (pp. 7-12). (Advances in Intelligent Systems Research). Atlantis Press. https://www.atlantis-press.com/proceedings/intel-13/11350

Vancouver

Mercorelli P. A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection. In International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys). Amsterdam: Atlantis Press. 2014. p. 7-12. (Advances in Intelligent Systems Research).

Bibtex

@inbook{93390581ce9d4702bc577819c453f383,
title = "A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection",
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.",
keywords = "Engineering",
author = "Paolo Mercorelli",
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.",
year = "2014",
month = feb,
language = "English",
isbn = "978-94-6252-000-4",
series = "Advances in Intelligent Systems Research",
publisher = "Atlantis Press",
pages = "7--12",
booktitle = "International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys)",
address = "Netherlands",

}

RIS

TY - CHAP

T1 - A Wavelet Based Algorithm without a Priori Knowledge of Noise Level for Gross Errors Detection

AU - Mercorelli, Paolo

N1 - 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.

PY - 2014/2

Y1 - 2014/2

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

M3 - Contributions to collected editions/anthologies

SN - 978-94-6252-000-4

T3 - Advances in Intelligent Systems Research

SP - 7

EP - 12

BT - International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics (IntelSys)

PB - Atlantis Press

CY - Amsterdam

ER -

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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

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Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, In: Sensors. 25, 2, 27 p., 479.

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

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

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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