Potential induced degradation in photovoltaic modules: A review of the latest research and developments

G Badran, M Dhimish - Solar, 2023 - mdpi.com
Photovoltaic (PV) technology plays a crucial role in the transition towards a low-carbon
energy system, but the potential-induced degradation (PID) phenomenon can significantly …

[HTML][HTML] Island detection for grid connected photovoltaic distributed generations via integrated signal processing and machine learning approach

YM Nsaif, MSH Lipu, A Hussain, A Ayob… - International Journal of …, 2023 - Elsevier
The applications of distributed generators in distribution networks have proven to be highly
reliable and cost-effective. Accidental islanding is currently regarded as an undesirable …

A new voltage based fault detection technique for distribution network connected to photovoltaic sources using variational mode decomposition integrated ensemble …

YM Nsaif, MS Hossain Lipu, A Hussain, A Ayob… - Energies, 2022 - mdpi.com
The increasing integration of renewable sources into distributed networks results in multiple
protection challenges that would be insufficient for conventional protection strategies to …

Seismic Signal Analysis Based on Variational Mode Decomposition and Hilbert Transform for Ground Intrusion Activity Classification

Y Sun, D Qian, J Zheng, Y Liu, C Liu - Sensors, 2023 - mdpi.com
The identification of ground intrusion is a key and important technology in the national public
security field. In this paper, a novel variational mode decomposition (VMD) and Hilbert …

[HTML][HTML] Hyperelastic and Stacked Ensemble-Driven Predictive Modeling of PEMFC Gaskets Under Thermal and Chemical Aging

SY Park, AB Kareem, TA Mustapha, WJ Joo… - Materials, 2024 - pmc.ncbi.nlm.nih.gov
This study comprehensively investigates the stress distribution and aging effects in Ethylene
Propylene Diene Monomer (EPDM) and Liquid Silicone Rubber (LSR) gasket materials …

Prediction of Faults Location and Type in Electrical Cables Using Artificial Neural Network

AM Moldovan, MI Buzdugan - Sustainability, 2023 - mdpi.com
Detecting and locating faults in electrical cables has been a permanent concern regarding
electrical power distribution systems. Over time, several techniques have been developed …

[HTML][HTML] A Fast and Cost-Effective Electronic Nose Model for Methanol Detection Using Ensemble Learning

BH Tozlu - Chemosensors, 2024 - mdpi.com
Methanol, commonly used to cut costs in the production of counterfeit alcohol, is extremely
harmful to human health, potentially leading to severe outcomes, including death. In this …

Power Signal Analysis for Early Fault Detection in Brushless DC Motor Drivers Based on the Hilbert–Huang Transform

D Marcos-Andrade, F Beltran-Carbajal… - World Electric Vehicle …, 2024 - mdpi.com
Brushless DC machines have demonstrated significant advantages in electrical engineering
by eliminating commutators and brushes. Every year, these machines increase their …

[HTML][HTML] A data-driven approach to grid-connected PV system reliability assessment: Combining deep learning and hybrid optimization

SO Obatola, T Junjie - Energy Reports, 2024 - Elsevier
Faults in PV systems significantly impact system reliability, leading to inefficiencies,
performance degradation, and increased maintenance costs. The proposed model aims to …

Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems

MZ Yousaf, MF Tahir, A Raza, MA Khan, F Badshah - Sensors, 2022 - mdpi.com
We develop a probabilistic model for determining the location of dc-link faults in MT-HVdc
networks using discrete wavelet transforms (DWTs), Bayesian optimization, and multilayer …