Physics Informed Neural Network-based High-frequency Modeling of Induction Motors
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Nanyang Technological University,Singapore,Singapore,639798
2. Science and Technology on Thermal Energy and Power Laboratory, Wuhan Second Ship Design and Research Institute,Wuhan,China,430000
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7873788/10018147/10018160.pdf?arnumber=10018160
Reference27 articles.
1. High-Frequency Modeling of the Long-Cable-Fed Induction Motor Drive System Using TLM Approach for Predicting Overvoltage Transients
2. Predicting the transient effects of PWM voltage waveform on the stator windings of random wound induction motors
3. Motor modeling for EMC simulation by 3-D electromagnetic field analysis
4. A simulation method to predict the turn-to-turn voltage spikes in a PWM fed motor winding
5. Stator Impedance Modeling Platform for the Electromagnetic Compatibility Aware Design of 3.7- to 7.5-KW Squirrel-Cage Induction Motors
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1. Electromagnetic Compatibility Characterization of Start-Capacitor Single-Phase Induction Motor;IEEE Access;2024
2. Characterization and Modeling of Single-Phase Common-Mode Chokes via Finite-Element Analysis;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
3. Investigation on Phase Sensitivity Unveiling of Finite-Element Analysis Modelled Single-Phase Common-Mode Chokes;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
4. State-of-the-Art Techniques for Fault Diagnosis in Electrical Machines: Advancements and Future Directions;Energies;2023-09-01
5. Research on On-Line Modeling of High Frequency Impedance of Motor;IEEE Transactions on Instrumentation and Measurement;2023
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