Bearing Rotating System Dynamic Model for Fault Detection

This is a dynamic model coded in Simulink, that generates synthetic time history responses of a rotating system with bearings, which may be subjected to faults generated randomly with specified severity. The generated datasets can then be used as training data for fault detection algorithms and monitoring techniques.