IEEE

Adaptive Control Neutral Point Scheme for Wind-Based Induction Machine

Abstract: The primary objective of this research problem is to monitor and incorporate an auxiliary system to fortify the primary configuration of the wind turbine system in a doubly-fed induction ...
IEEE

AC Loss Calculation for Litz Wire Windings in Electrical Machines

Abstract: High-frequency operation of electrical machines leads to excessive AC losses in the windings due to skin and proximity effects. To mitigate these losses, multistrand windings or Litz wire ...
IEEE

Thermal Neural Networks for High-Resolution Temperature Modeling of Electric Traction Machines With Oil Spray Cooling

Abstract: The demand for competitive electric traction machines expands the boundaries of their overload capability and energy efficiency. This requires an increasingly precise thermal monitoring to ...
IEEE

LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines

Abstract: Near-sensor diagnosis has become increasingly prevalent in industry. This study proposes a lightweight model named LD-RPMNet that integrates Transformers and Convolutional Neural Networks, ...
IEEE

A Sequential and Asynchronous Federated Learning Framework for Railway Point Machine Fault Diagnosis With Imperfect Data Transmission

Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...
IEEE

Continuous Hairpin Winding Technology for Electric Machines Enabling Net Zero Transportation: A Comprehensive Review

Abstract: Featured by low power losses and strong heat dissipation capability, hairpin winding has been widely accepted as a key enabler of boosting performance for traction/propulsion electrical ...
IEEE

Demo: Intelligent Abnormal Detection for Electrical Equipment Based on Machine Learning

Abstract: Electrical equipment is essential for factories, offices, and daily life. Neglecting its proper maintenance can result in fires or hazardous accidents. Currently, traditional electrical ...
IEEE

High Slot Fill Aluminum Distributed Winding for High-Speed and High Power Density Electric Machines

Abstract: This paper proposes a novel aluminum distributed winding in high-speed and high power density electric machines for automotive applications. The maximum rotational speed and the power ...
IEEE

Surface Segmentation of 3D Point Clouds of Electrical Components Based on Gaussian Mapping

Abstract: In the electrical industry, precise segmentation of 3D point cloud data is crucial for accurate geometric measurement, automated modeling, and defect detection in electrical components.
IEEE

Hybrid BiLSTM-PSO Approach for Multi-Metering Point Day-Ahead Electrical Load Forecasting

Abstract: Accurate individual load profile forecasting is essential for utilities to optimize resource allocation. A novel BiLSTM-PSO approach is proposed to address this challenge. By capturing short ...
IEEE

Critical Design Problems and Possible Solutions to a Superconducting Squirrel-Cage Induction Machine: An Electrical Machines' Expert Point-of-View

Abstract: Induction machines, known for their robustness and low cost, remain underexplored with superconductors. One promising solution is using High-Temperature Superconducting (HTS) tapes or bars ...
IEEE

Multiphysics Topology Optimization of Aluminum and Copper Conductors for Automotive Electrical Machines

Abstract: This article proposes loss and thermally optimized copper and aluminum structures for automotive electrical machines. A first batch of multiphysics optimization is performed parametrically ...