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M. Ahmed

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Open access Aug 2026

Intelligent Fault Diagnosis and Maintenance Decision Support in Electrical Induction Generators Using Multi-CNN Extreme Ensemble Learning

It is demonstrated that Hjorth-based electrical-signal characterization and Multi-CNN ensemble fusion can provide accurate and computationally efficient support for fault identification and predictive maintenance decisions in electrical induction generators.

M. Ahmed, Ahmed Mohammed Mohsin Alzubaidi, Z. Khan et al. · 0 citations

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