Second generation wavelet transform for data denoising in PD measurement

Xiaodi Song, Chengke Zhou, Donald M. Hepburn, Guobin Zhang, M. Michel

    Research output: Contribution to journalArticlepeer-review

    71 Citations (Scopus)


    Detection and diagnosis of partial discharge (PD) activity has been widely adopted in electrical plant condition monitoring. Analysis and detection of PD in practical applications is often hampered by noise in the signal. Recent research has shown that the discrete wavelet transform (DWT) is effective in extracting PD pulses from severe noise. One disadvantage, however, is that DWT does not reproduce accurate PD pulse magnitude and pulse shape after thresholding in the presence of strong noise.

    Original languageEnglish
    Pages (from-to)1531-1537
    Number of pages7
    JournalIEEE Transactions on Dielectrics and Electrical Insulation
    Issue number6
    Publication statusPublished - 1 Dec 2007


    • electrical noise
    • wavelet transform
    • PD


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