Efficient Fault Diagnosis in Rotating Machinery via Feature-Optimized Multilayer Perceptron

This study presents a multilayer perceptron classifier for fault diagnosis in rotating machinery using statistical features derived from vibration signals that provides a compact, interpretable, and efficient solution for real-time predictive maintenance in industrial applications.