Motor Fault Diagnosis M-File

This MATLAB M-file enables motor fault diagnosis by analyzing operational data to identify common failure types including rotor bar defects, stator winding shorts, and bearing faults through signal processing algorithms.

Artificial Neural Network Algorithm for Fault Diagnosis

Artificial Neural Network Algorithm designed for fault diagnosis applications, capable of identifying and classifying various fault types through pattern recognition and data analysis.