DPMSLM Eccentricity Fault Detection Based on Multiview of Mystery Curve Transformation and Deep Feature Extraction
Author:
Affiliation:
1. School of Internet, Anhui University, Hefei, China
2. School of Electrical Engineering and Automation, Anhui University, Hefei, China
3. School of Electronics and Information Engineering, Anhui University, Hefei, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Project of the Outstanding Young Talents in Colleges and Universities of Anhui Province
College Natural Science Research Key Project of Anhui Education Department
University Outstanding Youth Research Project of Anhui Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10546898/10510258.pdf?arnumber=10510258
Reference45 articles.
1. Precise Positioning of Linear Motor Mover Directly From the Phase Difference Analysis
2. Thrust Bandwidth Modeling and Optimization of PMSLM Based on Analytic Kernel-Embedded Elastic-Net Regression
3. PMSLM Eccentricity Fault Diagnosis Based on Deep Feature Fusion of Stray Magnetic Field Signals
4. Research on Permanent Magnet Linear Synchronous Motors With Ring Windings for Electromagnetic Launch System
5. High-Precision Position Control of PMLSM Using Fast Recursive Terminal Sliding Mode With Disturbance Rejection Ability
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