ITSC Fault Diagnosis for Five Phase Permanent Magnet Motors by Attention Mechanisms and Multiscale Convolutional Residual Network
Author:
Affiliation:
1. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/41/10505837/10317809.pdf?arnumber=10317809
Reference25 articles.
1. Comparative Study of Sideband Electromagnetic Force in Internal and External Rotor PMSMs With SVPWM Technique
2. Study of IPMSM Interturn Faults Part I: Development and Analysis of Models With Series and Parallel Winding Connections
3. An Early Stage Interturn Fault Diagnosis of PMSMs by Using Negative-Sequence Components
4. Online Stator Interturn Short Circuits Monitoring in the DFOC Induction-Motor Drive
5. A Stray Magnetic Flux-Based Robust Diagnosis Method for Detection and Location of Interturn Short Circuit Fault in PMSM
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3. ECAN: Enhanced-Feature Extraction and Complex Asymmetric-Convolutional-Attention Network for Intelligent Fault Diagnosis in MIMO System;IEEE Transactions on Instrumentation and Measurement;2025
4. Diagnosis of Oil-Drilling Permanent Magnet Synchronous Motor Interturn Short Circuit Under Physical Fault Model Training Sample;IEEE Sensors Journal;2024-12-01
5. Inter-Turn Fault Diagnosis and Control for Five-Phase PMSMs by Disturbance Observer;IEEE Transactions on Industrial Electronics;2024-11
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