Comparisons of digital filter, matched filter and wavelet transform in PD detection

Chengke Zhou; Xiaohong Zhou; Brian G. Stewart; Alan Nesbitt; Donald M. Hepburn; Dongsheng Guo

Comparisons of digital filter, matched filter and wavelet transform in PD detection

Chengke Zhou, Xiaohong Zhou, Brian G. Stewart, Alan Nesbitt, Donald M. Hepburn, Dongsheng Guo

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Abstract

Analysis of Partial Discharge (PD) measurement is often hampered by electrical noise. To remove this noise it is necessary to apply sophisticated digital signal processing techniques. In the past, various digital filtering techniques based on the Fast Fourier Transform (FFT) were applied. However, their results have not been up to expectation. More recently, the recent application of the matched filters and the Wavelet Transform (WT) have shown great promise, in terms of the effectiveness of denoising and enhancing the SNR (signal-noise ratio).

Original language	English
Publication status	Published - 1 Jan 2006

Keywords

matched filter
digital filter
electrical engineering
particle discharge

Documents and Links

http://www.labplan.ufsc.br/congressos/cigre06/DATA/D1_111.PDF

Cite this

@conference{16ac93c555d045ea8561dc6978f2e31c,

title = "Comparisons of digital filter, matched filter and wavelet transform in PD detection",

abstract = "Analysis of Partial Discharge (PD) measurement is often hampered by electrical noise. To remove this noise it is necessary to apply sophisticated digital signal processing techniques. In the past, various digital filtering techniques based on the Fast Fourier Transform (FFT) were applied. However, their results have not been up to expectation. More recently, the recent application of the matched filters and the Wavelet Transform (WT) have shown great promise, in terms of the effectiveness of denoising and enhancing the SNR (signal-noise ratio).",

keywords = "matched filter, digital filter, electrical engineering, particle discharge",

author = "Chengke Zhou and Xiaohong Zhou and Stewart, {Brian G.} and Alan Nesbitt and Hepburn, {Donald M.} and Dongsheng Guo",

note = "Paper presented at the International Council on Large Electric Systems (CIGRE), Paris, France, 29 August-3 September 2006.",

year = "2006",

month = jan,

day = "1",

language = "English",

}

TY - CONF

T1 - Comparisons of digital filter, matched filter and wavelet transform in PD detection

AU - Zhou, Chengke

AU - Zhou, Xiaohong

AU - Stewart, Brian G.

AU - Nesbitt, Alan

AU - Hepburn, Donald M.

AU - Guo, Dongsheng

N1 - Paper presented at the International Council on Large Electric Systems (CIGRE), Paris, France, 29 August-3 September 2006.

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Analysis of Partial Discharge (PD) measurement is often hampered by electrical noise. To remove this noise it is necessary to apply sophisticated digital signal processing techniques. In the past, various digital filtering techniques based on the Fast Fourier Transform (FFT) were applied. However, their results have not been up to expectation. More recently, the recent application of the matched filters and the Wavelet Transform (WT) have shown great promise, in terms of the effectiveness of denoising and enhancing the SNR (signal-noise ratio).

AB - Analysis of Partial Discharge (PD) measurement is often hampered by electrical noise. To remove this noise it is necessary to apply sophisticated digital signal processing techniques. In the past, various digital filtering techniques based on the Fast Fourier Transform (FFT) were applied. However, their results have not been up to expectation. More recently, the recent application of the matched filters and the Wavelet Transform (WT) have shown great promise, in terms of the effectiveness of denoising and enhancing the SNR (signal-noise ratio).

KW - matched filter

KW - digital filter

KW - electrical engineering

KW - particle discharge

M3 - Paper

ER -

Comparisons of digital filter, matched filter and wavelet transform in PD detection

Abstract

Keywords

Documents and Links

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