A Review on the Classification of Partial Discharges in Medium-Voltage Cables: Detection, Feature Extraction, Artificial Intelligence-Based Classification, and …
Medium-voltage (MV) cables often experience a shortened lifespan attributed to insulation
breakdown resulting from accelerated aging and anomalous operational and environmental …
breakdown resulting from accelerated aging and anomalous operational and environmental …
Partial discharge source discrimination using a support vector machine
L Hao, PL Lewin - IEEE Transactions on Dielectrics and …, 2010 - ieeexplore.ieee.org
Partial discharge (PD) measurements are an important tool for assessing the health of
power equipment. Different sources of PD have different effects on the insulation …
power equipment. Different sources of PD have different effects on the insulation …
Review on medical image denoising techniques
S Kaur, J Singla, A Singh - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In recent times, with rapid growth in technology, medical imaging has become popular in
healthcare. The impression of these improvements in the medical field has become evident …
healthcare. The impression of these improvements in the medical field has become evident …
[HTML][HTML] Bearing fault detection in a 3 phase induction motor using stator current frequency spectral subtraction with various wavelet decomposition techniques
Induction motors consumes 90% of total power consumed by industries due to large scale
utilisation. Even though these motors are rugged in structure, they often face unexpected …
utilisation. Even though these motors are rugged in structure, they often face unexpected …
A robust digital image watermarking scheme based on bat algorithm optimization and SURF detector in SWT domain
A Pourhadi, H Mahdavi-Nasab - Multimedia Tools and Applications, 2020 - Springer
This paper presents an optimized robust digital image watermarking scheme based on
Stationary Wavelet Transform (SWT) using Bat optimization Algorithm (BA) and Speed-Up …
Stationary Wavelet Transform (SWT) using Bat optimization Algorithm (BA) and Speed-Up …
A new perspective for the IEEE standard 1459-2000 via stationary wavelet transform in the presence of nonstationary power quality disturbance
WG Morsi, ME El-Hawary - IEEE Transactions on Power …, 2008 - ieeexplore.ieee.org
Power components, power factors, and pollution factor are defined according to the IEEE
standard 1459-2000 based on the fast Fourier transform (FFT). However, the FFT in the …
standard 1459-2000 based on the fast Fourier transform (FFT). However, the FFT in the …
Evaluation of current documents image denoising techniques: a comparative study
The research to come out with effective and noise-free images is still fresh despite several
years' efforts. Even though, recently, several methods have been proposed, each approach …
years' efforts. Even though, recently, several methods have been proposed, each approach …
[HTML][HTML] Pareto optimization of wavelet filter design for partial discharge detection in electrical machines
A Rauscher, M Hufnagel, C Endisch - Measurement, 2022 - Elsevier
A reliable detection of partial discharges (PDs) in the insulation system of electrical
machines is essential to prevent premature breakdowns. Wavelet filters (WFs) are often …
machines is essential to prevent premature breakdowns. Wavelet filters (WFs) are often …
Towards Integration of Domain Knowledge‐Guided Feature Engineering and Deep Feature Learning in Surface Electromyography‐Based Hand Movement …
As a machine‐learning‐driven decision‐making problem, the surface electromyography
(sEMG)‐based hand movement recognition is one of the key issues in robust control of …
(sEMG)‐based hand movement recognition is one of the key issues in robust control of …
Characterization of acoustic signals due to surface discharges on HV glass insulators using wavelet radial basis function neural networks
NA Al-geelani, MAM Piah, RQ Shaddad - Applied Soft Computing, 2012 - Elsevier
A hybrid model incorporating wavelet and radial basis function neural network is presented
which is used to detect, identify and characterize the acoustic signals due to surface …
which is used to detect, identify and characterize the acoustic signals due to surface …