Dec 28, 2022 · This paper proposes a new method to automatically classify the rotor health state in IMs driven by soft starters.
The proposed method relies on obtaining the Persistence Spectrum (PS) of the start-up stray-flux signals. To obtain a proper dataset, Data ...
Automatic Detection of Rotor Faults in Induction Motors by Convolutional Neural Networks applied to Stray Flux Signals. Proceedings of the 2021 22nd IEEE ...
Automatic Detection of Rotor Faults in Induction Motors by Convolutional Neural Networks applied to Stray Flux Signals · No full-text available · Citations (8) ...
The paper deals about the automatic condition monitoring of the rotor bars of induction AC motors which is performed through two main components: the ...
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... Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux ...
Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters · Engineering. Energies · 2021.
Automatic Detection of Rotor Faults in Induction Motors by Convolutional Neural Networks applied to Stray Flux Signals. 2021 22nd IEEE International ...
... Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals
Automatic Detection of Rotor Faults in Induction Motors by Convolutional Neural Networks applied to Stray Flux Signals. Proceedings of the 2021 22nd IEEE ...