Many manufacturing, warehouse and distribution facilities focus on condition monitoring or predictive maintenance solutions for the larger motors, drives and gear boxes but fail to take into consideration mission-critical equipment like smaller motors, bearings, rollers, conveyors, water pumps, etc. By and large, the maintenance for these happens on an inefficient, planned schedule at best, or only after the damage is done, at worst. An unplanned motor failure can cause a line-down situation ranging anywhere from a couple of hours to several days, resulting in downtime. While unplanned maintenance is more disruptive and expensive than routine scheduled maintenance, the best condition monitoring solution is one which predicts failure or presents the deterioration rate for any equipment that has the potential to cause downtime, in time to react. Bluvision’s Advanced Condition Monitoring uses machine learning and Artificial Intelligence (A.I.) to predict failure on any motor or mechanical equipment, weeks or months before the failure happens.