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Author

L. Al-Haddad

2 papers indexed here

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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

Electrical induction generators are vulnerable to winding faults that can degrade operational reliability and lead to unplanned maintenance. This study proposes a multiple-convolutional neural network (Multi-CNN) extreme ensemble learning framework for intelligent fault diagnosis and maintenance decision support using...

M. Ahmed, Ahmed Mohammed Mohsin Alzubaidi, Z. Khan et al. · 0 citations
Open access Jul 2026

Intelligent Side-Channel Acoustic–Vibration-Based Monitoring for Additive Manufacturing of Smart Composites Using Deep Learning

Reliable in situ monitoring is essential for the improvement of process supervision, quality assurance, and machine-state recognition in additive manufacturing of smart composite systems. This study presents a non-invasive acoustic–vibration side-channel monitoring framework for identifying FDM printing cases using exp...

T. Mahmood, O. Abdullah, A. Hadi et al. · 0 citations

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