[HTML][HTML] New Opportunities in Real-Time Diagnostics of Induction Machines

T Baraškova, K Kudelina, V Shirokova - Energies, 2024 - mdpi.com
This manuscript addresses the critical challenges in achieving high-accuracy remote control
of electromechanical systems, given their inherent nonlinearities and dynamic complexities …

Enhanced direct torque control based on intelligent approach for doubly-fed induction machine fed by three-level inverter

A Moussaoui, DB Attous, H Benbouhenni, Y Bekakra… - Heliyon, 2024 - cell.com
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) based on 24 sectors
direct torque command (DTC) for a doubly-fed induction machine (DFIM) by using a 3-level …

High-Performance Inverse Artificial Neural Network Controller for Asynchronous Motor Control

B Kada, M Hebali, IF Bouguenna, B Ibari… - The Journal of …, 2024 - periodicos.ufv.br
Induction motor (IM) is considered one of the most important machines in industrial
applications, which requires precise and effective control of its behavior in order to improve …

Prediction of the Thermal Gradient in Gas Metal Arc Welding Through Process Parameters Using Artificial Neural Networks: Experimental and Numerical Analysis

A da Silva Schauenberg, R Quispe Rodríguez… - Available at SSRN … - papers.ssrn.com
The objective of this study is to develop an artificial neural network (ANN) to predict the
geometric parameters of the weld bead and the temperature gradient generated in the Gas …

[PDF][PDF] Integrating Sustainability and Technological Innovation in Industrial Chemical Processes

This research explores the integration of sustainability and technological innovation in
industrial chemical processes through digitalization and the Internet of Things (IoT). It …