Remote Condition Monitoring combined with predictive analytics solution that addresses possible defects in chillers in the HVAC industry. To meet capacity utilization targets, the chillers must operate continuously. Several sensors are mounted on the chillers to measure vibration. This information is collected to predict possible defects, better manage maintenance, and reduce overall downtimes. Machine learning capabilities are being used to analyze these vibration patterns and define deviations (such as a failure in the electric motor) so an alarm can be triggered before the deviation actually occurs. The solution fits predictive analytics not only to chillers but can be customized to work on several other machine data also