Partial discharge classifications: Review of recent progress
It is well known that a correlation exist between the pattern of partial discharge (PD)
behavior and the insulation quality. Since different sources of partial discharge have their …
behavior and the insulation quality. Since different sources of partial discharge have their …
Scale dependent wavelet selection for de-noising of partial discharge detection
J Li, T Jiang, S Grzybowski… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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 …
Base wavelets are related to distortion of PD signals de-noised by wavelet shrinkage …
Wavelet transform with histogram-based threshold estimation for online partial discharge signal denoising
Online condition assessment of the power system devices and apparatus is considered vital
for robust operation, where partial discharge (PD) detection is employed as a diagnosis tool …
for robust operation, where partial discharge (PD) detection is employed as a diagnosis tool …
Random forest based optimal feature selection for partial discharge pattern recognition in HV cables
X Peng, J Li, G Wang, Y Wu, L Li, Z Li… - … on Power Delivery, 2019 - ieeexplore.ieee.org
Optimal selection of features of Partial Discharge (PD) signals recorded from defects in High
Voltage (HV) cables will contribute not only to the improvement of PD pattern recognition …
Voltage (HV) cables will contribute not only to the improvement of PD pattern recognition …
Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding
This paper proposes a self-adaptive technique for partial discharge (PD) signal denoising
with automatic threshold determination based on ensemble empirical mode decomposition …
with automatic threshold determination based on ensemble empirical mode decomposition …
Flashover process and frequency analysis of the leakage current on insulator model under non-uniform pollution conditions
MA Douar, A Mekhaldi… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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 …
Hz applied voltage on a plane model simulating the 1512 L outdoor insulator largely used …
Smart transformer for smart grid—intelligent framework and techniques for power transformer asset management
Condition monitoring and diagnosis have become an essential part of power transformer
asset management. A variety of online and offline measurements have been performed in …
asset management. A variety of online and offline measurements have been performed in …
Digital detection, grouping and classification of partial discharge signals at DC voltage
S Wenrong, L Junhao, Y Peng… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
In this paper, a digital dc PD pulse detection system with bandwidth of 10 kHz-40 MHz is
introduced, which was developed using some artificial intelligence methodologies. Focus is …
introduced, which was developed using some artificial intelligence methodologies. Focus is …
[图书][B] Transformer ageing: monitoring and estimation techniques
A one-stop guide to transformer ageing, presenting industrially relevant state-of-the-art
diagnostic techniques backed by extensive research data Offers a comprehensive coverage …
diagnostic techniques backed by extensive research data Offers a comprehensive coverage …
Denoising of partial discharge signal using a hybrid framework of total variation denoising-autoencoder
Partial discharge (PD) measurement is an essential task for assessing the condition of
electrical insulations. Different types of noises, such as random noise and discrete spectral …
electrical insulations. Different types of noises, such as random noise and discrete spectral …