Rooftop solar pv penetration impacts on distribution network and further growth factors—a comprehensive review
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 …
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
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 …
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
Abstract A novel Dynamic Kernel PCA (DKPCA) method is developed for process monitoring
in nonlinear dynamical systems. Classical DKPCA approaches still exhibit vague linearity …
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
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 …
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 …
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 **ong, 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 …
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
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 …
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
Solar photovoltaic (PV) systems have become a vital renewable energy source, witnessing
rapid global demand. Nevertheless, these systems are susceptible to faults and anomalies …
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
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 …
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
In modern industrial processes, multimodality is a common characteristic and process
monitoring tools should be capable of detecting the occurrence of abnormalities in the …
monitoring tools should be capable of detecting the occurrence of abnormalities in the …