State-of-the-art in artificial neural network applications: A survey
This is a survey of neural network applications in the real-world scenario. It provides a
taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of …
taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of …
An overview of state-of-the-art partial discharge analysis techniques for condition monitoring
As one step toward the future smart grid, condition monitoring is important to facilitate the
reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the …
reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the …
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 …
GIS partial discharge pattern recognition via deep convolutional neural network under complex data source
H Song, J Dai, G Sheng, X Jiang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper aims to improve recognition accuracies of partial discharge (PD) of complex data
sources by employing deep convolutional neural network (DCNN). First, a dataset with …
sources by employing deep convolutional neural network (DCNN). First, a dataset with …
Partial discharges classification methods in xlpe cable: A review
Partial discharge (PD) signal classification analysis on cross-linked polyethylene (XLPE)
cables is complex, requiring a comprehensive understanding of the characteristics of PD …
cables is complex, requiring a comprehensive understanding of the characteristics of PD …
A review of online partial discharge measurement of large generators
Y Luo, Z Li, H Wang - Energies, 2017 - mdpi.com
Online partial discharge (PD) measurements have long been used as an effective means to
assess the condition of the stator windings of large generators. An increase in the use of PD …
assess the condition of the stator windings of large generators. An increase in the use of PD …
ANN and cross-correlation based features for discrimination between electrical and mechanical defects and their localization in transformer winding
AJ Ghanizadeh… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, a new method to discriminate between mechanical defects and electrical
faults, as two major faults in power transformer windings, is proposed. In the first step, the …
faults, as two major faults in power transformer windings, is proposed. In the first step, the …
Multiple partial discharge source localization in power cables through power spectral separation and time-domain reflectometry
Insulated power cables are becoming increasingly popular in today's developing distribution
and transportation networks. However, due to aging, deterioration, and various operational …
and transportation networks. However, due to aging, deterioration, and various operational …
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 …
[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 …