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P. Malega

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Open access Jul 2026

Artificial Intelligence-Driven Quality Control in Mechanical Manufacturing: Vibration-Based Multiclass Gear Fault Detection Using LightGBM

The results show that vibration-based machine learning can support robust, near-real-time fault identification in mechanical manufacturing environments and highlights the importance of chronological validation, feature engineering over multiple time windows, and the trade-off between predictive performance and deployment efficiency.

P. Malega, J. Kováč, Róbert Munkáči et al. · Applied Sciences · 0 citations