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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
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. · 0 citations

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