Rooftop solar pv penetration impacts on distribution network and further growth factors—a comprehensive review

B Uzum, A Onen, HM Hasanien, SM Muyeen - Electronics, 2020 - mdpi.com
In order to meet the electricity needs of domestic or commercial buildings, solar energy is
more attractive than other renewable energy sources in terms of its simplicity of installation …

Superconducting fault current limiter (SFCL): Experiment and the simulation from finite-element method (FEM) to power/energy system software

B Shen, Y Chen, C Li, S Wang, X Chen - Energy, 2021 - Elsevier
The superconducting fault current limiter (SFCL) has been regarded as one of most popular
superconducting applications. This article reviews the modern energy system with two major …

Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA

W Bounoua, A Bakdi - Chemical Engineering Science, 2021 - Elsevier
Abstract A novel Dynamic Kernel PCA (DKPCA) method is developed for process monitoring
in nonlinear dynamical systems. Classical DKPCA approaches still exhibit vague linearity …

Real-time fault detection in PV systems under MPPT using PMU and high-frequency multi-sensor data through online PCA-KDE-based multivariate KL divergence

A Bakdi, W Bounoua, A Guichi, S Mekhilef - International Journal of …, 2021 - Elsevier
This paper considers data-based real-time adaptive Fault Detection (FD) in Grid-connected
PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults …

Detection of intermittent faults based on an optimally weighted moving average T2 control chart with stationary observations

Y Zhao, X He, J Zhang, H Ji, D Zhou, MG Pecht - Automatica, 2021 - Elsevier
The moving average (MA)-type scheme, also known as the smoothing method, has been
well established within the multivariate statistical process monitoring (MSPM) framework …

Incipient fault detection for geological drilling processes using multivariate generalized Gaussian distributions and Kullback–Leibler divergence

Y Li, W Cao, W Hu, Y Xiong, M Wu - Control Engineering Practice, 2021 - Elsevier
Early detection of downhole faults in geological drilling processes can effectively reduce
downtime and prevent catastrophic drilling accidents. Considering that the changes of …

Design and experimental implementation of a new robust observer-based nonlinear controller for DC-DC buck converters

S Abdelmalek, A Dali, A Bakdi, M Bettayeb - Energy, 2020 - Elsevier
DC-DC buck converters are extensively used in many industrial and end-user applications
where significant attention highlights their power-conversion efficiency and robustness to …

[HTML][HTML] Model-based fault detection in photovoltaic systems: A comprehensive review and avenues for enhancement

B Taghezouit, F Harrou, Y Sun, W Merrouche - Results in Engineering, 2024 - Elsevier
Solar photovoltaic (PV) systems have become a vital renewable energy source, witnessing
rapid global demand. Nevertheless, these systems are susceptible to faults and anomalies …

Experimental and theoretical study on the performance of semi-transparent photovoltaic glazing façade under shaded conditions

J Wu, L Zhang, Z Liu, Y Luo, Z Wu, P Wang - Energy, 2020 - Elsevier
Semi-transparent photovoltaic glazing (STPVG) façade is a promising curtain wall system,
which not only has the function of traditional glazing façade but also can use solar energy to …

Multimodal process monitoring based on variational Bayesian PCA and Kullback-Leibler divergence between mixture models

Y Cao, NM Jan, B Huang, M Fang, Y Wang… - … and Intelligent Laboratory …, 2021 - Elsevier
In modern industrial processes, multimodality is a common characteristic and process
monitoring tools should be capable of detecting the occurrence of abnormalities in the …