A novel adaptive wavelet threshold estimation based on hybrid particle swarm optimization for partial discharge signal denoising

W Si, B Qin, Q Li, H Liu - Optik, 2019 - Elsevier
Partial discharge (PD) of high voltage equipment detected by online monitoring is regarded
as a key indicator of insulation status. Threshold estimation exerts an important influence on …

A comparison of cycle spinning versus stationary wavelet transform for the extraction of features of partial discharge signals

HO Mota, FH Vasconcelos… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a comparison of three feature extraction methods to denoise partial
discharge (PD) signals. The denoising technique employs the Stationary Wavelet Transform …

Predicting of partial discharge in medium-voltage cables using recurrent neural network with long short-term memory cells after wavelet denoising

J Yeo, H Jin, C Yuen, CS Ng - 2020 8th International …, 2020 - ieeexplore.ieee.org
Conventional offline partial discharge measurement performed on in-service medium-
voltage cables are susceptible to non-stationary noise influence. These disruptive …

A signal denoising technique based on wavelets modulus maxima lines and a self-scalable grid classifier

RGV Machado… - 2015 IEEE Workshop on …, 2015 - ieeexplore.ieee.org
This paper presents the description of a signal processing technique using the Wavelets
Transform and a self-scalable grid classifier. The procedure is based on the cycle-spinning …

Sistema de tempo real para processamento de sinais de descargas parciais focado em implementação por hardware

DL de Souza, JLC Guimarães, JB Xisto… - Revista Científica …, 2019 - revista.doctum.edu.br
Este artigo descreve melhorias em um agente desenvolvido para processar sinais
provenientes de monitoramento visando identificar ocorrências de descargas parciais e …