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

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 images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …

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 …

To solve the problems of noise interference and artificial feature extraction in power quality
disturbance (PQD) classification, a new method combining adaptive wavelet threshold …

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 …

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 …

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 …

The importance of power quality monitoring, detection, and classification on electrical
systems increased recently in terms of economics, security, the efficiency depending on the …

Current measurement systems based on the IEEE-1159 standard have some limitations and
robustness problems under noisy and fast-changing conditions. Besides, applying different …