Predicting Air Compressor Performance of AC Motor Using Machine Learning Algorithm

The theme is all about the Predictive Maintenanceand Fault Detection of AC Motor Driven Air Compressors basedon innovative machine learning algorithms. By employing theuse of Long Short-Term Memory Networks, the theme aims atpredicting performance and developing models based upon dataassociated with the usage or consumption of electric energy. TheAC motor stability and radiator performance are the most criticalaspects associated with efficiency. The use of comprehensive datapreprocessing and machine learning algorithms is utilised forsuccessfully predicting important key factors associated with aircompressors.