Effectiveness of Neural Fault Detectors of Permanent Magnet Synchronous Motor Trained With Symptoms From Field-Circuit Modeling
Author:
Affiliation:
1. Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, Wroclaw, Poland
Funder
Narodowe Centrum Nauki
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09906067.pdf?arnumber=9906067
Reference34 articles.
1. Efficiency of Cascaded Neural Networks in Detecting Initial Damage to Induction Motor Electric Windings
2. Phase-phase Short Fault Analysis of Permanent Magnet Synchronous Motor in Electric Vehicles
3. Detection and discrimination between unbalanced supply and phase loss in PMSM using ANN-based protection scheme
4. Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Improved Probabilistic Neural Network
5. PMSM Stator Winding Fault Detection and Classification Based on Bispectrum Analysis and Convolutional Neural Network
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