Author

A. Ogaili

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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. · Applied System Innovation · 0 citations

Open access Jul 2026

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

Results indicate that acoustic–vibration side-channel signals can provide effective process signatures for intelligent and quality-aware FDM monitoring.

T. Mahmood, O. Abdullah, A. Hadi et al. · Journal of Composites Scienc... · 0 citations

Open access Aug 2026

Influence of lattice-core geometry on the mechanical performance of FDM-printed PETG sandwich panels: an experimental, computational, and statistical investigation

This study aims to find the impact of lattice-core geometry on the tensile and flexural properties of FDM-printed PETG-sandwich panels. Six core profiles (namely square, circular, elliptical, octagonal, pentagonal and hexagonal) were fabricated under controlled parameters of the FDM and tested based on ASTM D638 and D7...

A. Ogaili, Abdul-Rasool Kareem Jweri, S. Amin et al. · Journal of engineering and a... · 0 citations