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Author

H. Sabir

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Open access Aug 2026

Simulation-driven diagnosis of stator phase-current imbalance in wind turbine induction generators using multi-signal features and explainable machine learning

Overall, the sample-level results are promising, indicating that the multi-signal, physics-based feature set and interpretability are useful, however, the configuration-level results suggest that the current 9-configuration simulation setup is not yet sufficient for definitive diagnostic accuracy.

Sghiouri Sara, Hamza Sabir, Mohamed Bezza et al. · 0 citations
Conference Jul 2026

Real-Time Fault Diagnosis of Induction Motors Based on Stator Current Analysis and Embedded Machine Learning on a Cost-Effective Testing Platform

Induction motors are central to industrial processes, yet their unexpected failure incurs significant production losses and maintenance costs. Motor Current Signature Analysis (MCSA) is a well-established non-intrusive technique for identifying electrical and electromechanical faults via frequency-domain analysis of th...

Sara Sghiouri, H. Sabir, Mohamed Bezza et al. · 0 citations

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