Artificial Neural Network and Data Dimensionality Reduction Based on Machine Learning Methods for PMSM Model Order Reduction

Artificial Neural Network and Data Dimensionality Reduction Based on Machine Learning Methods for PMSM Model Order Reduction

The present paper targets a solution for permanent motor synchronous machine (PMSM) model order reduction (MOR) using artificial neural networks and machine learning techniques for data dimensionality reduction. The neural networks are trained using data obtained from a series of electromagnetic Fin...

Full description

Bibliographic Details
Main Authors: Maria Raluca Raia, Mircea Ruba, Raul Octavian Nemes, Claudia Martis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
adaptive data generation
machine learning
permanent magnet synchronous machine
dynamic simulation
real-time
Online Access:https://ieeexplore.ieee.org/document/9477439/

Internet

https://ieeexplore.ieee.org/document/9477439/

Similar Items