Signal denoising techniques for partial discharge measurements

Partial Discharge Signal Denoising Using the Empirical Mode Decomposition

This paper presents the findings of an investigation into Partial Discharge signal denoising using techniques based on Empirical Mode Decomposition. The denoising techniques are based on thresholding the Intrinsic Mode Functions which result from the Empirical Mode Decomposition of a signal. The results of the tests carried out show clearly that these techniques can produce excellent results wh...

Research of an Improved Wavelet Threshold Denoising Method for Transformer Partial Discharge Signal

In order to overcome the discontinuance of the hard thresholding function and the defect of seriously slashing singularity in the soft thresholding function, improve the denoising effect and detect the transformer partial discharge signal more accurately, in this paper an improved wavelet threshold denoising method is put forward through analyzing the interference noise of transformer partial d...

Empirical mode decomposition based denoising of partial discharge signals

-Empirical Mode Decomposition (EMD) has recently been introduced as a local and fully data-driven technique aimed at analyzing nonstationary signals, by decomposing nonstationary signals into Intrinsic Mode Functions (IMFs). In this contribution, we employ it to process the signals of partial discharge, a typical type of nonstationary signal. Based on the IMFs extracted from the corrupted signa...

Building Partial Discharge Signal Wireless Probes

Survey of De-noising Techniques for Partial Discharge Interferences

Partial Discharges (PD) are recognized as one of the main causes of degradation of internal insulation of power equipment and its subsequent failure in high voltage equipment. In most real-time applications such as extruded cables, Gas Insulated Substations (GIS) etc., polymeric insulation systems which invariably used. It is necessary and demand to detect even very low levels of PD pulse disch...