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

    Research output: Contribution to conferencePaper

    67 Downloads (Pure)

    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 languageEnglish
    Publication statusPublished - 1 Jan 2006

    Fingerprint

    Matched filters
    Partial discharges
    Digital filters
    Digital signal processing
    Fast Fourier transforms
    Wavelet transforms

    Keywords

    • matched filter
    • digital filter
    • electrical engineering
    • particle discharge

    Cite this

    Zhou, C., Zhou, X., Stewart, B. G., Nesbitt, A., Hepburn, D. M., & Guo, D. (2006). Comparisons of digital filter, matched filter and wavelet transform in PD detection.
    Zhou, Chengke ; Zhou, Xiaohong ; Stewart, Brian G. ; Nesbitt, Alan ; Hepburn, Donald M. ; Guo, Dongsheng. / Comparisons of digital filter, matched filter and wavelet transform in PD detection.
    @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 = "1",
    day = "1",
    language = "English",

    }

    Zhou, C, Zhou, X, Stewart, BG, Nesbitt, A, Hepburn, DM & Guo, D 2006, 'Comparisons of digital filter, matched filter and wavelet transform in PD detection'.

    Comparisons of digital filter, matched filter and wavelet transform in PD detection. / Zhou, Chengke; Zhou, Xiaohong; Stewart, Brian G.; Nesbitt, Alan; Hepburn, Donald M.; Guo, Dongsheng.

    2006.

    Research output: Contribution to conferencePaper

    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 -