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 …
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
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 …
system. The widespread use of power electronic systems, especially power converters, has …
Underwater image enhancement via weighted wavelet visual perception fusion
Underwater images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …
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
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 …
(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 …
disturbance (PQD) classification, a new method combining adaptive wavelet threshold …
An innovative single shot power quality disturbance detector algorithm
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 …
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 …
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 …
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
This paper addresses the challenge of improving the efficiency of solar photovoltaic
systems, which often suffer from intermittent energy harvesting and suboptimal power …
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
The importance of power quality monitoring, detection, and classification on electrical
systems increased recently in terms of economics, security, the efficiency depending on the …
systems increased recently in terms of economics, security, the efficiency depending on the …