Bearing fault classification in induction motors using current spectrum analysis and artificial neural network
This work integrates FFT-based current spectrum analysis, PCA-based feature reduction, and ANN classification into a unified non-invasive diagnosis framework for bearing fault detection, providing a simple, adaptive, and reliable solution for early bearing fault detection without requiring additional mechanical sensors...