Abstract: A system and method for predicting the potential failure of components in HVAC systems wherein the system comprising a sensor operable to measure at least one operating condition of an electrical component in an HVAC system and a prediction module including a processor operable. The prediction module is configured to receive data from the sensor, store historical data from the sensor and analyse the data and historical data to predict a potential loss of effective operation of the electrical component. The method comprises receiving, from a sensor at least one operating condition of an electrical component in an HVAC system at a controller, analysing data from the sensor at the controller, utilizing machine learning with a trained model representing performance and failure of comparable electrical components and operating conditions and predicting a potential failure as determined by the controller based on the trained model.