Image-Based Fault Detection and Severity Classification of Broken Rotor Bars in Induction Motors Using EfficientNetB3

Broken rotor bar faults (BRBFs) in induction motors (IMs) present significant challenges in industrial applications, particularly due to the need for large labeled datasets and fast processing. This study addresses these issues by leveraging transfer learning with classical diagnostic techniques, us...

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Bibliografische Detailangaben

Hauptverfasser:	Shahil Kumar, Meshach Kumar, Rahul Ranjeev Kumar
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-02-01
Schriftenreihe:	Energies
Schlagworte:	broken rotor bar fault continuous wavelet transform gramian angular field fast fourier transform classification transfer learning
Online-Zugang:	https://www.mdpi.com/1996-1073/19/4/1110
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