Predominantly running to failure maintenance is practiced in the wind energy industry. This type of breakdown reaction is an expensive proposition for operators. Because wind turbines are dispersed throughout and remotely in accessible locations, they are difficult to access during the operation and maintenance of wind farms. Hence, consistent predictive monitoring of the system and its subassemblies is required to reduce the huge downtime maintenance costs and prevent catastrophic failure. The Industrial Internet of Things, together with artificial intelligence, supports the continuous monitoring of machines in real time to detect the wear conditions early and to schedule the repairs in advance, thereby reducing the down, decreasing the cost of maintenance, and increasing productivity. A system of condition monitoring is a deployable early warning system that relies on sensor data to predict the failure and remaining useful life of the system, assemblies, and their components.