Article

CNN Input Data Configuration Method for Fault Diagnosis of Three-Phase Induction Motors Based on D-Axis Current in the D-Q Synchronous Reference Frame

2025-07-08

Abstract excerpt

This study proposes a novel approach to input data configuration for fault diagnosis of three-phase induction motors. Conventional neural network (CNN)-based diagnostic methods often employ three-phase current signals and apply various image transfor-mation techniques, such as RGB-mapping, wavelet transforms, and short-time Fourier transform (STFT), to construct multi-channel input data. While such approaches are...

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Literature Corpus work: e1141880-1d5e-5c4a-b30a-a7735c60d129
DOI: 10.20944/preprints202507.0653.v1

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CNN Input Data Configuration Method for Fault Diagnosis of Three-Phase Induction Motors Based on D-Axis Current in the D-Q Synchronous Reference FrameDOI 10.20944/preprints202507.0653.v1Read

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