This work aims to improve the quality control of gasoline direct injection pumps through the
application of artificial intelligence on a dedicated test bench. First, the forecasting capability …

In this article, a neural network (NN) approach is introduced to estimate the nonnoisy speed
and torque from noisy measured currents and voltages in induction motors with variable …

This article presents a novel approach for sensorless speed measurement of induction
motors (IMs) using a time-domain stator current analysis. More particularly, we propose the …

In this study, a long short-term memory (LSTM) based estimator using rotating axis
components of the stator voltages and currents as inputs is designed to perform estimations …

Overall performance estimation of the inverter-fed induction machine by finite element
analysis is a very time-consuming task, which is result of the long transient response time …

Artificial neural networks are applied in different application areas, and electrical machine
implementation is one of them. The structures, resembling the motor behavior like motor …

Electrical motors in industrial and emerging applications such as electrical automotive
require high dynamic performance, robustness against parameter variation, and reliability …

This thesis deals with the application of neural networks in solving electrical motor problems.
Chapter 2 contributes to identifying a neural network that can learn the multivariate …