Machine Learning For Electric Motor Fault Detection

Project description

In this research, the developed algorithm is confined to the time-domain as it is computationally less rigorous. Moreover, motor line voltage data alone was chosen to carry out fault detection because the voltage signal had a consistent magnitude regardless of load condition or fault severity. This enhanced robustness of features extracted and thus, a more reliable prediction could be made.