Results 61 to 70 of about 16,653,881 (285)
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Arcing High Impedance Fault Detection Using Real Coded Genetic Algorithm
Safety and reliability are two of the most important aspects of electric power supply systems. Sensitivity and robustness to detect and isolate faults can influence the safety and reliability of such systems.
Zamanan, N. +2 more
core +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Today cables replace overhead lines in distribution systems and cause higher system capacitance and higher capacative fault currents. This fault current, in the fault location, is limited by a Petersén coil and a resistance in parallel when a fault ...
Kättström, Maria
core +2 more sources
Fault Line Selection Method of Small Current Grounding System Based on Deep Learning
At present, the single-phase grounding fault line selection problem of small current grounding system has not been completely solved. In order to improve the success rate of single-phase grounding fault line selection, a new method based on deep learning
Guodong ZHANG, Haitao PU, Kai LIU
doaj +1 more source
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
In order to accurately extract the fault features of arc high impedance grounding of low‐voltage distribution lines and judge the fault feature types of arc high impedance grounding of low‐voltage distribution lines, a fault feature extraction method for
Jing Sun
core +1 more source
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
Improved multi-level protection scheme for ground faults in low resistance grounding systems
This study addresses the issues of poor selectivity, low sensitivity, and protection failure under high-resistance ground faults in existing low resistance grounding systems.
Li Xinhao +6 more
doaj +1 more source

