Lightning return-stroke transmission line model based on CN tower lightning data and derivative of heidler function

Milewski, Monika; Hussein, A.M.

doi:10.1109/ccece.2008.4564867

Cited by 18 publications

(29 citation statements)

References 5 publications

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“…The next highest peak of the current waveform corresponds to the reflection from the ground [8]. Two small peaks in between the front peak and the ground reflection peak are due to the reflections from the Observation Deck levels of the tower.…”

Section: Denoising By Divide-and-conquermentioning

confidence: 94%

“…(8) Once the best basis is chosen by (8), the denoising is achieved by truncating the elements of the best basis by a specific pres-established threshold.…”

Section: If (S[b] I ) Denotes the Vector Of Coefficients Of A Signal mentioning

confidence: 99%

“…The noise deluding the measured CN Tower lightning current derivative signals includes high frequencies due to the essential function of the tower as a transmission hub, a DC offset which may be attributed to the current derivative measurement system, frequencies around 100 kHz due to Loran-C radionavigation systems where the tower acts as an efficient mono-pole receptive antenna at such frequencies [7], and current reflections due to tower's structural discontinuities [8].…”

Section: Introductionmentioning

confidence: 99%

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Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals

Nedjah

Hussein

Krishnan

et al. 2010

Digital Signal Processing

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Original article can be found at: http://www.sciencedirect.com/ Copyright ElsevierThe lightning current derivative data recorded at the CN Tower during the past 18 years contain different kinds of noise and needs to be denoised for accurately determining the lightning current waveform parameters. It is usually a challenging task to denoise transient signals having large bandwidth without altering their waveshapes or shrinking their amplitudes. This paper deals with denoising the CN Tower lightning current derivative signals using several adaptive techniques. A new adaptive denoising approach (Divide-and-Conquer) has been successfully used to denoise a vast variety of CN Tower lightning current derivative waveshapes. The supremacy of the new technique over the existing ones is outlined for a signal with a poor signal-to-noise ratio (SNR). While keeping the signal amplitude unchanged and preserving its waveshape, the new denoising technique improved its SNR from ???22.93 dB to 71.41 dB

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Section: Denoising By Divide-and-conquermentioning

confidence: 94%

“…(8) Once the best basis is chosen by (8), the denoising is achieved by truncating the elements of the best basis by a specific pres-established threshold.…”

Section: If (S[b] I ) Denotes the Vector Of Coefficients Of A Signal mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals

Nedjah

Hussein

Krishnan

et al. 2010

Digital Signal Processing

Self Cite

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“…Furthermore, the derivative of Heidler function and the derivative of its modified form have been successfully used to simulate the lightning return-stroke current derivative, measured at the Toronto CN Tower [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Cn Tower Lightning Return-Stroke Current Simulation

Elrodesly¹

2012

JLR

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Different functions have been used to model the lightning return-stroke current with the aid of direct current measurements at tall structures. In this paper, a comparison between the Pulse function and Heilder function is carried out to find out the suitability of each of these functions for simulating the lightning return-stroke current, measured at the CN Tower. An automated system for determining the CN Tower lightning return-stroke current waveform parameters is introduced. The curve fitting technique of this system and the estimation of the initial values of the simulation function parameters are presented. An artificial lightning signal, free of noise and reflections, is used as a reference signal for evaluating the parameter extraction system. Finally, cumulative statistics of the CN Tower lightning return-stroke current waveform parameters (peak, maximum rate of rise, risetime, pulse width, decay time and charge) are derived using the Pulse function parameters.

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“…Several studies have been completed to evaluate the return stroke current which can be categorized into two groups; i.e., direct measurement of the current [1] and inverse procedure algorithms based on measured electromagnetic fields for the determination of the return stroke current [2,3]. In the direct measurement method, the current can be measured by setting current coils at the top of towers or by using the artificial triggered lightning technique to measure channel base currents [1,[4][5][6]. On the other hand, indirect methods can evaluate the return stroke current using measured fields and they can cover a greater number of lightning occurrences compared to direct measurement [7].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Lightning Return Stroke Current Using Measured Electromagnetic Fields

Izadi¹,

Kadir²,

Gomes³

et al. 2012

PIER

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Abstract-The lightning return stroke current is an important parameter for considering the effect of lightning on power lines. In this study, a numerical method is proposed to evaluate the return stroke current based on measured electromagnetic fields at an observation point in the time domain. The proposed method considers all field components and the full wave shape of the current without the use of a special current model as a basic assumption compared to previous methods. Furthermore, the proposed algorithm is validated using measured fields obtained from a triggered lightning experiment. The results show a good agreement between the simulated field based on the evaluated currents from the proposed method and the corresponding measured field at a remote observation point. The proposed method can determine current wave shapes related to a greater number of lightning occurrences compared to the direct measurement of the current.

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Lightning return-stroke transmission line model based on CN tower lightning data and derivative of heidler function

Cited by 18 publications

References 5 publications

Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals

Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals

Cn Tower Lightning Return-Stroke Current Simulation

Evaluation of Lightning Return Stroke Current Using Measured Electromagnetic Fields

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