Wavelets behind the scenes: Practical aspects, insights, and perspectives

RC Guido - Physics Reports, 2022 - Elsevier
Over the years, wavelet-based analyses have been responsible for remarkable
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …

A review of total harmonic distortion factors for the measurement of harmonic and interharmonic pollution in modern power systems

A Arranz-Gimon, A Zorita-Lamadrid, D Morinigo-Sotelo… - Energies, 2021 - mdpi.com
Harmonic distortion is one of the disturbances that most affects the quality of the electrical
system. The widespread use of power electronic systems, especially power converters, has …

Underwater image enhancement via weighted wavelet visual perception fusion

W Zhang, L Zhou, P Zhuang, G Li, X Pan… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Underwater images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …

[HTML][HTML] Adaptive spectral trend based optimized EWT for monitoring the parameters of multiple power quality disturbances

Y Liu, D Yuan, Z Gong, T **, MA Mohamed - International Journal of …, 2023 - Elsevier
The growing penetration of renewable energy sources leads to power quality disturbances
(PQDs) being multiple. The real-time monitoring of the parameters of multiple power quality …

Power quality disturbance classification under noisy conditions using adaptive wavelet threshold and DBN-ELM hybrid model

Y Gao, Y Li, Y Zhu, C Wu, D Gu - Electric power systems research, 2022 - Elsevier
To solve the problems of noise interference and artificial feature extraction in power quality
disturbance (PQD) classification, a new method combining adaptive wavelet threshold …

An innovative single shot power quality disturbance detector algorithm

C Iturrino-García, G Patrizi, A Bartolini… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Power quality disturbances (PQDs) have affected many people due to the growing number
of electronic nonlinear loads and because of the significant increase of renewable sources …

A novel recognition method for complex power quality disturbances based on visualization trajectory circle and machine vision

D Yuan, Y Liu, M Lan, T **… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Accurate and fast recognition of power quality disturbances (PQDs) is very significant for
power pollution control. A novel method based on visualization trajectory circle (TC) and …

Accurate DFT method for power system frequency estimation considering multi-component interference

K Wang, J Wang, J Song, L Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Frequency estimation plays a crucial role in monitoring and protecting smart grids. The
excellence of discrete Fourier transform (DFT)-based frequency estimators has been well …

Wavelet and signal analyzer based high-frequency ripple extraction in the context of MPPT algorithm in solar PV systems

MA Taher, M Behnamfar, AI Sarwat, M Tariq - IEEE Access, 2024 - ieeexplore.ieee.org
This paper addresses the challenge of improving the efficiency of solar photovoltaic
systems, which often suffer from intermittent energy harvesting and suboptimal power …

A comprehensive research of machine learning algorithms for power quality disturbances classifier based on time-series window

S Akkaya, E Yüksek, HM Akgün - Electrical Engineering, 2024 - Springer
The importance of power quality monitoring, detection, and classification on electrical
systems increased recently in terms of economics, security, the efficiency depending on the …