Application of Artificial Intelligence-Based Technique in Electric Motors: A Review
Electric motors find widespread application across various industrial fields. The pursuit of
enhanced comprehensive electric motors performance has consistently drawn significant …
enhanced comprehensive electric motors performance has consistently drawn significant …
Model Predictive Control Strategies in Switched Reluctance Motor Drives–An Overview
Model predictive control (MPC) is an advanced control technique with salient features, such
as simplicity applied in multivariable systems, fast-transient response, inclusion of …
as simplicity applied in multivariable systems, fast-transient response, inclusion of …
Enhancing wastewater treatment efficiency through machine learning-driven effluent quality prediction: A plant-level analysis
MAP Cechinel, J Neves, JVR Fuck… - Journal of Water …, 2024 - Elsevier
The main objective of this study was to develop, validate, and comprehend machine
learning (ML) models capable of predicting chemical oxygen demand concentration in the …
learning (ML) models capable of predicting chemical oxygen demand concentration in the …
[HTML][HTML] Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm
J Zhou, X Gu, H Gong, X Yang, Q Sun, L Guo, Y Pan - Ecological Indicators, 2024 - Elsevier
China has abundant straw resources, but challenges in utilization persist. Utilization rates
need improvement, and environmental pollution from straw burning remains a significant …
need improvement, and environmental pollution from straw burning remains a significant …
Advanced design optimization of switched reluctance motors for torque improvement using supervised learning algorithm
Existing research on geometry optimization of switched reluctance motor (SRM) using
machine learning algorithms has focused only on the machine's static characteristics. The …
machine learning algorithms has focused only on the machine's static characteristics. The …
Out of bounds anomaly scores (obas) in smart failure detection in variable frequency drives
Smart condition-based maintenance is a critical aspect of Industry 4.0, ensuring the reliable
and long-term operation of devices powered by Variable Frequency Drives (VFDs) …
and long-term operation of devices powered by Variable Frequency Drives (VFDs) …
A new technique for radial and tangential force calculation time reduction for the optimization process of SRMs
This article introduces a new technique for reducing the time of calculating radial and
tangential force density waves of switched reluctance machines (SRMs). The method is …
tangential force density waves of switched reluctance machines (SRMs). The method is …
Switched reluctance motor design optimization: a framework for effective machine learning algorithm selection and evaluation
This study employs various machine learning algorithms (MLAs) to map out the stator and
rotor pole arc angles of 6/14 switched reluctance motor (SRM) and their static and dynamic …
rotor pole arc angles of 6/14 switched reluctance motor (SRM) and their static and dynamic …
A physics-informed Bayesian optimization method for rapid development of electrical machines
Advanced slot and winding designs are imperative to create future high performance
electrical machines (EM). As a result, the development of methods to design and improve …
electrical machines (EM). As a result, the development of methods to design and improve …
[HTML][HTML] Control techniques of switched reluctance motors in electric vehicle applications: A review on torque ripple reduction strategies
As electric vehicles (EVs) continue to acquire prominence in the transportation industry,
improving the outcomes and efficiency of their propulsion systems is becoming increasingly …
improving the outcomes and efficiency of their propulsion systems is becoming increasingly …