Insulation degradation is one of the prime reasons for failures in power transformers. Partial
discharge (PD) is considered as one of the primary causes of initiation of insulation …

The processing of remotely sensed data includes compression, noise reduction,
classification, feature extraction, change detection and any improvement associated with the …

Wavelet shrinkage methods are effective for de-noising of partial discharge (PD) detection.
Base wavelets are related to distortion of PD signals de-noised by wavelet shrinkage …

This paper proposes a self-adaptive technique for partial discharge (PD) signal denoising
with automatic threshold determination based on ensemble empirical mode decomposition …

In this paper, we present results dealing with the non-uniform pollution carried out under 50
Hz applied voltage on a plane model simulating the 1512 L outdoor insulator largely used …

The diagnosis of portions in a cable that are severely degraded before breakdown occurs is
of prime importance. This paper presents a novel method based on the broadband …

Denoising is a key step in diagnosis and evaluation of partial discharge (PD) signals in
power transformers. In this paper, a new PD signal denoising algorithm is presented, which …

On-line Partial Discharge (PD) monitoring is being increasingly adopted in an effort to
improve asset management of the vast network of MV and HV power cables. This paper …

Online detection of partial discharges (PD) is imperative for condition monitoring of high
voltage equipment as well as power cables. However, heavily contaminated sites often …

Soil is an important source of potentially toxic metal intake for humans through the food
chain. Accurate determination of elemental concentrations in soil is of great significance to …