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Wavelet functions for rejecting spurious values

Research output: Journal contributions › Journal articles › Research

Standard

Wavelet functions for rejecting spurious values. / Mercorelli, P.
In: Recent Patents on Electrical and Electronic Engineering, Vol. 3, No. 2, 2010, p. 100-113.

Research output: Journal contributions › Journal articles › Research

Harvard

Mercorelli, P 2010, 'Wavelet functions for rejecting spurious values', Recent Patents on Electrical and Electronic Engineering, vol. 3, no. 2, pp. 100-113. https://doi.org/10.2174/1874476111003020100

APA

Mercorelli, P. (2010). Wavelet functions for rejecting spurious values. Recent Patents on Electrical and Electronic Engineering, 3(2), 100-113. https://doi.org/10.2174/1874476111003020100

Vancouver

Mercorelli P. Wavelet functions for rejecting spurious values. Recent Patents on Electrical and Electronic Engineering. 2010;3(2):100-113. doi: 10.2174/1874476111003020100

Bibtex

@article{3b32e05961964d3cbbea0a215676515e,
title = "Wavelet functions for rejecting spurious values",
abstract = "The article presented some promising patents and other correlated literature on wavelet functions for rejecting spurious values (gross errors) in a continuous digital sequence of measured values. Moreover, the paper concentrates its attention on an innovative invention which addresses Gross Error Detection using uni-variate signal-based approaches. The developed algorithm is totally general and it is present in some industrial software platforms to detect sensor outliers. Furthermore, it is currently integrated in the inferential modelling platform of the unit responsible for Advanced Control and Simulation Solutions within ABB's (Asea Brown Boveri) industry division. Experimental results using sensor measurements of temperature, pressure and Enthalpy in a Distillation Column are presented in the paper. One of the goals of this paper is to show the possibility to include the wavelet algorithms also for data reconciliations and authentications in modern communication systems such as wireless communication ones. Wavelet packets seem particularly suitable in such kind of applications because they could also be utilized in the compression data system. Therefore, using wavelet packets a more compact and integrated structure of the whole data transmission and data reconciliation system seems to be possible.",
keywords = "Data protection, Data reconciliation, Gross error detection, Intrusion detection, Outliers, Parameter estimation, Security in sensor measures, Wavelets, Advanced control, Compression data, Data transmission, Digital sequence, Gross errors, Industrial software, Integrated structure, Sensor measurements, Wavelet algorithms, Wavelet function, Wavelet Packet, Wireless communications, Communication systems, Data compression, Distillation, Distillation columns, Patents and inventions, Sensors, Wavelet transforms, Wireless telecommunication systems, Error detection, Engineering",
author = "P. Mercorelli",
year = "2010",
doi = "10.2174/1874476111003020100",
language = "English",
volume = "3",
pages = "100--113",
journal = "Recent Patents on Electrical and Electronic Engineering",
issn = "1874-4761",
publisher = "Bentham Science Publishers B.V.",
number = "2",

}

RIS

TY - JOUR

T1 - Wavelet functions for rejecting spurious values

AU - Mercorelli, P.

PY - 2010

Y1 - 2010

N2 - The article presented some promising patents and other correlated literature on wavelet functions for rejecting spurious values (gross errors) in a continuous digital sequence of measured values. Moreover, the paper concentrates its attention on an innovative invention which addresses Gross Error Detection using uni-variate signal-based approaches. The developed algorithm is totally general and it is present in some industrial software platforms to detect sensor outliers. Furthermore, it is currently integrated in the inferential modelling platform of the unit responsible for Advanced Control and Simulation Solutions within ABB's (Asea Brown Boveri) industry division. Experimental results using sensor measurements of temperature, pressure and Enthalpy in a Distillation Column are presented in the paper. One of the goals of this paper is to show the possibility to include the wavelet algorithms also for data reconciliations and authentications in modern communication systems such as wireless communication ones. Wavelet packets seem particularly suitable in such kind of applications because they could also be utilized in the compression data system. Therefore, using wavelet packets a more compact and integrated structure of the whole data transmission and data reconciliation system seems to be possible.

AB - The article presented some promising patents and other correlated literature on wavelet functions for rejecting spurious values (gross errors) in a continuous digital sequence of measured values. Moreover, the paper concentrates its attention on an innovative invention which addresses Gross Error Detection using uni-variate signal-based approaches. The developed algorithm is totally general and it is present in some industrial software platforms to detect sensor outliers. Furthermore, it is currently integrated in the inferential modelling platform of the unit responsible for Advanced Control and Simulation Solutions within ABB's (Asea Brown Boveri) industry division. Experimental results using sensor measurements of temperature, pressure and Enthalpy in a Distillation Column are presented in the paper. One of the goals of this paper is to show the possibility to include the wavelet algorithms also for data reconciliations and authentications in modern communication systems such as wireless communication ones. Wavelet packets seem particularly suitable in such kind of applications because they could also be utilized in the compression data system. Therefore, using wavelet packets a more compact and integrated structure of the whole data transmission and data reconciliation system seems to be possible.

KW - Data protection

KW - Data reconciliation

KW - Gross error detection

KW - Intrusion detection

KW - Outliers

KW - Parameter estimation

KW - Security in sensor measures

KW - Wavelets

KW - Advanced control

KW - Compression data

KW - Data transmission

KW - Digital sequence

KW - Gross errors

KW - Industrial software

KW - Integrated structure

KW - Sensor measurements

KW - Wavelet algorithms

KW - Wavelet function

KW - Wavelet Packet

KW - Wireless communications

KW - Communication systems

KW - Data compression

KW - Distillation

KW - Distillation columns

KW - Patents and inventions

KW - Sensors

KW - Wavelet transforms

KW - Wireless telecommunication systems

KW - Error detection

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=77953801694&partnerID=8YFLogxK

U2 - 10.2174/1874476111003020100

DO - 10.2174/1874476111003020100

M3 - Journal articles

VL - 3

SP - 100

EP - 113

JO - Recent Patents on Electrical and Electronic Engineering

JF - Recent Patents on Electrical and Electronic Engineering

SN - 1874-4761

IS - 2

ER -

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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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Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 11.01.2025, (E-pub ahead of print) In: Arabian Journal for Science and Engineering. 11 p.

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

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