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

Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, In: IEEE Open Journal of Power Electronics. 6, p. 734-746 13 p.

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

Business Analytics and Making Decision Based on Kalman Filter in Stock Prediction Case

Kurniawan, S. & Mercorelli, P., 27.05.2025, 5th Congress on Intelligent Systems, CIS 2024: Volume 1. Kumar, S., Mary Anita, E. A., Kim, J. H. & Nagar, A. (eds.). Springer Science and Business Media Deutschland, p. 309-320 12 p. (Lecture Notes in Networks and Systems; vol. 1275).

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

Dynamic Performance Analysis and Fault Ride-Through Enhancement by a Modified Fault Current Protection Scheme of a Grid-Connected Doubly Fed Induction Generator

Talani, R. A., Kaloi, G. S., Ali, A., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P. & Touti, E., 02.2025, In: Machines. 13, 2, 20 p., 110.

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

Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control

Zwerger, T. & Mercorelli, P., 01.02.2025, In: Mathematics and Computers in Simulation. 228, p. 178-201 24 p.

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

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