TIA PREMA (MATLAB Predictive Maintenance for Electro Mechanical Components) is a model used for predictive maintenance of DC motor, gearbox and hydraulic press.
By studying random scenarios, due to the changes in gearbox efficiency, resistance and damping coefficient values multiple random scenarios can be generated. Using the data fault code, labeling is performed. TIA PREMA uses different ML Models.
TIA PREMA presents some graphs to display the difference between simulation outputs.
TIA PREMA uses data generated by MATLAB SynData-EM as input.
TIA PREMA enables visualization of confusion matrix for the algorithms used.