Vibration-current data fusion and gradient boosting classifier for enhanced stator fault diagnosis in three-phase permanent magnet synchronous motors

LA Al-Haddad, AA Jaber, MN Hamzah, MA Fayad - Electrical Engineering, 2024 - Springer
Permanent magnet synchronous motors (PMSMs) are widely recognized for their precise
control capabilities, making them indispensable in numerous industrial applications. Yet …

Machine learning applications in catalytic hydrogenation of carbon dioxide to methanol: A comprehensive review

EG Aklilu, T Bounahmidi - International Journal of Hydrogen Energy, 2024 - Elsevier
The catalytic hydrogenation of carbon dioxide (CO 2) to methanol presents a significant
opportunity for both mitigating climate change and producing a valuable chemical feedstock …

DeepFlame: A deep learning empowered open-source platform for reacting flow simulations

R Mao, M Lin, Y Zhang, T Zhang, ZQJ Xu… - Computer Physics …, 2023 - Elsevier
Recent developments in deep learning have brought many inspirations for the scientific
computing community and it is perceived as a promising method in accelerating the …

Time series forecasting and modeling of food demand supply chain based on regressors analysis

SK Panda, SN Mohanty - IEEE Access, 2023 - ieeexplore.ieee.org
Accurate demand forecasting has become extremely important, particularly in the food
industry, because many products have a short shelf life, and improper inventory …

[HTML][HTML] Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame

K Li, P Rahnama, R Novella, B Somers - Energy and AI, 2023 - Elsevier
Abstract Flamelet Generated Manifold (FGM) is an example of a chemistry tabulation or a
flamelet method that is under attention because of its accuracy and speed in predicting …

Combination of CFD and machine learning for improving simulation accuracy in water purification process via porous membranes

AI Almohana, TJ Al-Musawi - Journal of Molecular Liquids, 2023 - Elsevier
Membrane system for molecular separation was studied in this work using combined
modeling approach. Computational fluid dynamics (CFD) was conducted and integrated to …

Computational study and experimental validation on the solubility of drugs in supercritical solvent for assessment of nanomedicine production via green technology for …

C Hao, Y Li, L Zhang, M Sheng, Y Cui… - Journal of Molecular …, 2023 - Elsevier
A computational method was proposed in this work for prediction of drug solubility in
supercritical solvent for the drug desoxycorticosterone acetate as a case study. The main …

Surrogate-based calculation method for robust design optimization considering the fatigue probability for variable service loads of eBike drive units

M Steck, S Husung - Designs, 2023 - mdpi.com
This paper proposes a robust design-optimization approach for eBike drive units that
incorporates the highly variable driver-dependent load collectives and system conditions …

Decision system for copper flotation backbone process

H Dong, F Wang, D He, Y Liu - Engineering Applications of Artificial …, 2023 - Elsevier
This study proposed a decision system that can output the flotation backbone flowchart
using the natural properties of copper ore. The proposed decision system includes three …

Machine learning-assisted analysis for agronomic dataset of 49 Balangu (Lallemantia iberica L.) ecotypes from different regions of Iran

J Shafagh-Kolvanagh, H Dehghanian… - Scientific Reports, 2022 - nature.com
Abstract The Balangu (Lallemantia iberica) species have a high gastronomical impact in the
Middle East and Balkan region. It is widely used in the local food industry, such as …