Francesco Melluso

Bearing fault detection and identification using Statistical Features and Feedforward Neural Network

Rolling bearings are among the most critical components in rotating machinery, and their reliable condition assessment is essential for preventing unexpected failures and enabling predictive maintenance strategies. In this study, a lightweight and automated methodology is proposed for bearing Fault Detection (FD) and F...