Satish, L and Nazneen, B (2003) Wavelet-based Denoising of Partial Discharge Signals Buried in Excessive Noise and Interference. In: IEEE Transactions on Dielectrics and Electrical Insulation, 10 (2). 354 -367.
Achieving acceptable levels of sensitivity during online and/or onsite partial discharge (PD) measurements still continues to remain a very challenging task, primarily due to strong coupling of external (random, discrete spectral and stochastic pulsive) interferences. Many analog and digital approaches have been proposed for suppressing these interferences, and amongst these, rejection of the pulsive type of interferences is known to be very difficult, if not impossible. The time and frequency characteristics of the pulsive interference being very similar to that of the PD pulses is the main reason posing difficulty in their separation. In this paper, a novel, semi-automatic, and empirical wavelet-based method (using multi-resolution signal analysis) is proposed to recover PD pulses, buried in excessive noise/interference comprising of random, discrete spectral, pulsive, and any combination of these interferences occurring simultaneously and overlapping-in-time with the PD pulses. A critical assessment of the proposed method is carried out, by processing both simulated and practically acquired PD signals. The results obtained are also compared with those from the best digital filter (infinite impulse response, IIR and finite impulse response, FIR) method proposed in literature. From the results it emerges that, the wavelet approach is superior and further, has the unique capability of successfully rejecting all the three kinds of interferences, even when PD signals and one or all interferences occur simultaneously and overlap-in-time.
|Item Type:||Journal Article|
|Additional Information:||Ã�Â©1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Wavelets;Multi-resolution signal analysis;Partial discharges;PD signals;Discrete spectral and pulsive interferences;PD signal denoising;Digital Filtering;On-site PD measurements;Diagnostics and monitoring|
|Department/Centre:||Division of Electrical Sciences > High Voltage Engineering (merged with EE)|
|Date Deposited:||21 Dec 2005|
|Last Modified:||19 Sep 2010 04:22|
Actions (login required)