Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends
Author:
Affiliation:
1. Joby Aviation, San Carlos, CA, USA
2. Department of Power Electronics and Electrical Drives, Paderborn University, Paderborn, Germany
3. Institute of Computer Science, Osnabrück University, Osnabrück, Germany
Funder
Deutsche Forschungsgemeinschaft
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Medicine
Link
http://xplorestaging.ieee.org/ielx7/8782707/10008994/10147346.pdf?arnumber=10147346
Reference263 articles.
1. Optimization of Torque Ripples in an Interior Permanent Magnet Synchronous Motor Based on the Orthogonal Experimental Method and MIGA and RBF Neural Networks
2. Design and Analysis of Current Sensor Fault Detection Mechanisms for PMSM Drives Based on Neural Networks
3. MagNet: A Machine Learning Framework for Magnetic Core Loss Modeling
4. Data set—Three-phase IGBT two-level inverter for electrical drives (data);stender,2022
5. A Data-Driven Automatic Design Method for Electric Machines Based on Reinforcement Learning and Evolutionary Optimization
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