The "Predict & Prevent" Approach
Predictive Maintenance (PdM) is a paradigm shift in the way assets are monitored and managed to realize worry-free uptime. Not only the time required for maintenance planning is reduced, and over-maintenance is avoided, but also the PdM helps detect the onset of equipment degradation and address the problems as they are identified.
- It is an IIoT-based, big data and dynamic algorithm-driven, advanced Machine Learning and Artificial Intelligence solution.
- It helps monitor the "Health" of the critical components such as bearings, pumps, motors, gearboxes, and robotic joints to predict and optimize their remaining useful life.
- The solution includes a library of out-of-the-box, quick-to-deploy use cases (Templates) for Industrial Robots, Stamping Machines, Machine Tools, Compressors/Chillers, and other equipment types.
- It facilitates and supports end-to-end analysis of large volumes of data through a re-configurable environment designed to integrate into existing enterprise infrastructure.