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.
|Number of pages||7|
|Journal||IEEE Transactions on Dielectrics and Electrical Insulation|
|Publication status||Published - 1 Dec 2007|
- electrical noise
- wavelet transform