[HTML][HTML] The smooth variable structure filter: A comprehensive review

M Avzayesh, M Abdel-Hafez, M AlShabi… - Digital Signal …, 2021 - Elsevier
The smooth variable structure filter (SVSF) is a type of sliding mode filter formulated in a
predictor-corrector format and has seen significant development over the last 15 years. In …

The use of multivariate EMD and CCA for denoising muscle artifacts from few-channel EEG recordings

X Chen, X Xu, A Liu, MJ McKeown… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Electroencephalography (EEG) recordings are often contaminated by muscle artifacts. In the
literature, a number of methods have been proposed to deal with this problem. Yet most …

Partial discharge signal denoising based on singular value decomposition and empirical wavelet transform

J Zhong, X Bi, Q Shu, M Chen, D Zhou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Online partial discharge (PD) monitoring is an important means to detect insulation
deterioration. However, it is difficult to extract the PD signal due to various interferences in …

Review on partial discharge diagnostic techniques for high voltage equipment in power systems

GA Hussain, W Hassan, F Mahmood, M Shafiq… - IEEE …, 2023 - ieeexplore.ieee.org
In modern power systems, condition based monitoring and diagnosis is essential to ensure
the effective and reliable operation of different high voltage equipment (HVE). Compared to …

Window selection of the Savitzky–Golay filters for signal recovery from noisy measurements

M Sadeghi, F Behnia, R Amiri - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The Savitzky-Golay (SG) filtering is a widely used denoising method employed in different
applications. The SG filter has two design parameters: the window length and the filter order …

Independent vector analysis applied to remove muscle artifacts in EEG data

X Chen, H Peng, F Yu, K Wang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Electroencephalogram (EEG) data are often contaminated by various electrophysiological
artifacts. Among all these artifacts, the muscle activity is particularly difficult to remove. In the …

Partial discharge localization inside transformer windings via fiber-optic acoustic sensor array

C Gao, L Yu, Y Xu, W Wang, S Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Partial discharge (PD) is the main sign of the insulation deterioration; therefore, the online
PD localization of the power transformers can provide the equipment degradation …

A denoising method for mining cable PD signal based on genetic algorithm optimization of VMD and wavelet threshold

Y Wang, P Chen, Y Zhao, Y Sun - Sensors, 2022 - mdpi.com
When the pulse current method is used for partial discharge (PD) monitoring of mining
cables, the detected PD signals are seriously disturbed by the field noise, which are easily …

An automatic tool for partial discharge de-noising via short-time Fourier transform and matrix factorization

Y Yan, R Trinchero, IS Stievano, H Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article develops a fully automatic tool for the de-noising of partial discharge (PD)
signals occurring in electrical power networks and recorded in on-site measurements. The …

Modulation signal bispectrum with optimized wavelet packet denoising for rolling bearing fault diagnosis

J Guo, Z Shi, D Zhen, Z Meng, F Gu… - Structural Health …, 2022 - journals.sagepub.com
Transient impulses caused by local faults are critical informative indicators for rolling
element bearing fault diagnosis. The methods for accurately extracting transient impulses …