Automated wavelet selection and thresholding for PD detection

X. Ma, Chengke Zhou, I. J. Kemp

    Research output: Contribution to journalArticle

    Abstract

    This paper presents a discussion of some important and unresolved issues related to previous work to provide a more comprehensive understanding of the practicability of wavelet-based denoising.

    Original languageEnglish
    JournalIEEE Electrical Insulation Magazine
    Publication statusPublished - 1 Apr 2002

    Keywords

    • denoising
    • wavelet selection
    • PD
    • particle discharge

    Cite this

    @article{54c5c98fc09049f983ef7675ff4a6c1a,
    title = "Automated wavelet selection and thresholding for PD detection",
    abstract = "This paper presents a discussion of some important and unresolved issues related to previous work to provide a more comprehensive understanding of the practicability of wavelet-based denoising.",
    keywords = "denoising, wavelet selection, PD, particle discharge",
    author = "X. Ma and Chengke Zhou and Kemp, {I. J.}",
    note = "Originally published in: IEEE Electrical Insulation Magazine (2002), 18 (2), pp.37-45.",
    year = "2002",
    month = "4",
    day = "1",
    language = "English",
    journal = "IEEE Electrical Insulation Magazine",
    issn = "0883-7554",
    publisher = "IEEE",

    }

    Automated wavelet selection and thresholding for PD detection. / Ma, X.; Zhou, Chengke; Kemp, I. J.

    In: IEEE Electrical Insulation Magazine, 01.04.2002.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Automated wavelet selection and thresholding for PD detection

    AU - Ma, X.

    AU - Zhou, Chengke

    AU - Kemp, I. J.

    N1 - Originally published in: IEEE Electrical Insulation Magazine (2002), 18 (2), pp.37-45.

    PY - 2002/4/1

    Y1 - 2002/4/1

    N2 - This paper presents a discussion of some important and unresolved issues related to previous work to provide a more comprehensive understanding of the practicability of wavelet-based denoising.

    AB - This paper presents a discussion of some important and unresolved issues related to previous work to provide a more comprehensive understanding of the practicability of wavelet-based denoising.

    KW - denoising

    KW - wavelet selection

    KW - PD

    KW - particle discharge

    M3 - Article

    JO - IEEE Electrical Insulation Magazine

    JF - IEEE Electrical Insulation Magazine

    SN - 0883-7554

    ER -