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 …
Transformers meet visual learning understanding: A comprehensive review
Dynamic attention mechanism and global modeling ability make Transformer show strong
feature learning ability. In recent years, Transformer has become comparable to CNNs …
feature learning ability. In recent years, Transformer has become comparable to CNNs …
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …
conditions, makes fast and accurate computer-aided techniques that are relevant and …
A deep learning framework using convolution neural network for classification of impulse fault patterns in transformers with increased accuracy
The paper presents a method using deep learning framework based on convolution neural
network (CNN), for identification and localization of faults of transformer winding under …
network (CNN), for identification and localization of faults of transformer winding under …
Cross-wavelet transform as a new paradigm for feature extraction from noisy partial discharge pulses
D Dey, B Chatterjee, S Chakravorti… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
In this work a new approach based on cross-wavelet transform towards identification of
noisy Partial Discharge (PD) patterns has been proposed. Different partial discharge …
noisy Partial Discharge (PD) patterns has been proposed. Different partial discharge …
Monitoring of inter-turn insulation failure in induction motor using advanced signal and data processing tools
Detection of stator winding inter-turn insulation failure at early stages is crucial for promoting
safe and economical use of induction motors in industrial applications. Whereas major …
safe and economical use of induction motors in industrial applications. Whereas major …
[PDF][PDF] 基于交叉小波变换和相关系数矩阵的局部放电特征提取
尚海昆， 苑津莎， 王瑜， 靳松 - 电工技术学报, 2014 - dgjsxb.ces-transaction.com
摘要针对局部放电特征量的高维性及对噪声的高敏感性, 提出一种基于交叉小波变换和相关系数
矩阵的局部放电特征提取方法. 基于交叉小波变换对信号的时频域分析功能以及对噪声的免疫 …
矩阵的局部放电特征提取方法. 基于交叉小波变换对信号的时频域分析功能以及对噪声的免疫 …
Rough-set-based feature selection and classification for power quality sensing device employing correlation techniques
In this paper, we present a scheme of rough-set-based minimal set of feature selection and
classification of power quality disturbances that can be implemented in a general-purpose …
classification of power quality disturbances that can be implemented in a general-purpose …
[HTML][HTML] Automatic partial discharge recognition using the cross wavelet transform in high voltage cable joint measuring systems using two opposite polarity sensors
This paper presents a new wavelet analysis approach in partial discharges cable joint
measurements in noisy environments. The proposed technique uses the Cross Wavelet …
measurements in noisy environments. The proposed technique uses the Cross Wavelet …
Autocorrelation aided rough set based contamination level prediction of high voltage insulator at different environmental condition
This paper presents a Rough Set Theory (RST) based approach for predicting the surface
contamination level of porcelain type insulators at different environmental condition. The …
contamination level of porcelain type insulators at different environmental condition. The …