Improved Neural Network-based High-frequency Behavioral Modeling of Induction Motors
Author:
Affiliation:
1. Nanyang Technological University, Singapore,School of Electrical and Electronic Engineering,Singapore
2. National University of Singapore, Singapore,Department of Electrical and Computer Engineering,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10584832/10584581/10584945.pdf?arnumber=10584945
Reference11 articles.
1. A Modeling Technique to Analyze the Impact of Inverter Supply Voltage and Cable Length on Industrial Motor-Drives
2. Reflected wave modeling techniques for PWM AC motor drives
3. Detection of Stator Interturn Short-Circuit Faults in Inverter-Fed Induction Motors by Online Common-Mode Impedance Monitoring
4. Impact of Motor Stator Winding Faults on Motor Differential-mode Impedance and Mode Transformation
5. Conducted electromagnetic emissions in induction motor drive systems. II. Frequency domain models
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