Induction Motor Stray Flux Analysis Proposal for Machine Learning Targeted Applications
Author:
Affiliation:
1. Democritus University of Thrace,Department of Electrical and Computer Engineering,Xanthi,Greece
2. Instituto Tecnologico de la Energia, Universitat Politécnica de Valéncia,Valencia,Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10311571/10311610/10312120.pdf?arnumber=10312120
Reference17 articles.
1. Analysis of air-gap eccentricity in inverter fed induction motor by means of motor current signature analysis and stray flux of motor
2. Detection of eccentricity and bearings fault using stray flux monitoring
3. Assessment of the rotor condition in soft-started induction motors through the Hilbert transform of transient stray flux signals
4. Detection of rotor slot and other eccentricity related harmonics in a three phase induction motor with different rotor cages
5. Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals
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