A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal

O. Nedjah; A.M. Hussein; S. Krishnan; K. Rahimeefar; R. Sotudeh

doi:10.1109/CCECE.2008.4564766

A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal

O. Nedjah, A.M. Hussein, S. Krishnan, K. Rahimeefar, R. Sotudeh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

69 Downloads (Pure)

Abstract

The CN Tower is a transmission hub and an
instrumented tower for the measurement of the lightning
return stroke current derivative. The recorded data are
corrupted by different kinds of noise, and need to be denoised
for accurate determination of the lightning return-stroke
current waveform parameters. A new Divide-and-Conquer
denoising approach that imitates the Basis Pursuit method and
the Newton-Raphson technique has been developed. This
paper describes the new process of denoising the recorded
signals. First, the current derivative is preprocessed to
eliminate the noise outside the lightning return-stroke active
region and reduce the presence of the high frequencies inside
the active region. Then, by marching on both the graphs of the
current derivative and its integral, the noise due to reflections
is localized and removed. By this process the SNR improved by
35 dB and the lightning current and current derivative
parameters are calculated automatically with a high precision.
Furthermore, using the calculated parameters the data is curve
fitted to Heidler function, which results in a model for the
measured lightning current derivative with an infinite SNR

Original language	English
Title of host publication	Canadian Conference on Electrical and Computer Engineering (CCECE 2008)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	001373-001378
ISBN (Print)	978-1-4244-1642-4
DOIs	https://doi.org/10.1109/CCECE.2008.4564766
Publication status	Published - 2008

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10.1109/CCECE.2008.4564766

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“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

Cite this

Nedjah, O., Hussein, A. M., Krishnan, S., Rahimeefar, K., & Sotudeh, R. (2008). A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal. In Canadian Conference on Electrical and Computer Engineering (CCECE 2008) (pp. 001373-001378). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CCECE.2008.4564766

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title = "A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal",

abstract = "The CN Tower is a transmission hub and an instrumented tower for the measurement of the lightning return stroke current derivative. The recorded data are corrupted by different kinds of noise, and need to be denoised for accurate determination of the lightning return-stroke current waveform parameters. A new Divide-and-Conquer denoising approach that imitates the Basis Pursuit method and the Newton-Raphson technique has been developed. This paper describes the new process of denoising the recorded signals. First, the current derivative is preprocessed to eliminate the noise outside the lightning return-stroke active region and reduce the presence of the high frequencies inside the active region. Then, by marching on both the graphs of the current derivative and its integral, the noise due to reflections is localized and removed. By this process the SNR improved by 35 dB and the lightning current and current derivative parameters are calculated automatically with a high precision. Furthermore, using the calculated parameters the data is curve fitted to Heidler function, which results in a model for the measured lightning current derivative with an infinite SNR",

author = "O. Nedjah and A.M. Hussein and S. Krishnan and K. Rahimeefar and R. Sotudeh",

note = "“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"} “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”",

year = "2008",

doi = "10.1109/CCECE.2008.4564766",

language = "English",

isbn = "978-1-4244-1642-4",

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}

Nedjah, O, Hussein, AM, Krishnan, S, Rahimeefar, K & Sotudeh, R 2008, A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal. in Canadian Conference on Electrical and Computer Engineering (CCECE 2008). Institute of Electrical and Electronics Engineers (IEEE), pp. 001373-001378. https://doi.org/10.1109/CCECE.2008.4564766

A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal. / Nedjah, O.; Hussein, A.M.; Krishnan, S. et al.
Canadian Conference on Electrical and Computer Engineering (CCECE 2008). Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 001373-001378.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Krishnan, S.

AU - Rahimeefar, K.

AU - Sotudeh, R.

N1 - “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

PY - 2008

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N2 - The CN Tower is a transmission hub and an instrumented tower for the measurement of the lightning return stroke current derivative. The recorded data are corrupted by different kinds of noise, and need to be denoised for accurate determination of the lightning return-stroke current waveform parameters. A new Divide-and-Conquer denoising approach that imitates the Basis Pursuit method and the Newton-Raphson technique has been developed. This paper describes the new process of denoising the recorded signals. First, the current derivative is preprocessed to eliminate the noise outside the lightning return-stroke active region and reduce the presence of the high frequencies inside the active region. Then, by marching on both the graphs of the current derivative and its integral, the noise due to reflections is localized and removed. By this process the SNR improved by 35 dB and the lightning current and current derivative parameters are calculated automatically with a high precision. Furthermore, using the calculated parameters the data is curve fitted to Heidler function, which results in a model for the measured lightning current derivative with an infinite SNR

AB - The CN Tower is a transmission hub and an instrumented tower for the measurement of the lightning return stroke current derivative. The recorded data are corrupted by different kinds of noise, and need to be denoised for accurate determination of the lightning return-stroke current waveform parameters. A new Divide-and-Conquer denoising approach that imitates the Basis Pursuit method and the Newton-Raphson technique has been developed. This paper describes the new process of denoising the recorded signals. First, the current derivative is preprocessed to eliminate the noise outside the lightning return-stroke active region and reduce the presence of the high frequencies inside the active region. Then, by marching on both the graphs of the current derivative and its integral, the noise due to reflections is localized and removed. By this process the SNR improved by 35 dB and the lightning current and current derivative parameters are calculated automatically with a high precision. Furthermore, using the calculated parameters the data is curve fitted to Heidler function, which results in a model for the measured lightning current derivative with an infinite SNR

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DO - 10.1109/CCECE.2008.4564766

M3 - Conference contribution

SN - 978-1-4244-1642-4

SP - 1373

EP - 1378

BT - Canadian Conference on Electrical and Computer Engineering (CCECE 2008)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal

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