RotationLF is a scalable and Sensor agnostic platform that monitors the condition of the machines in real time and predicts their Remaining Useful Life. It automatically detects patterns by building a prediction model that identifies when a given piece of equipment and its components are approaching the end of their remaining useful lives or at risk of failure. It receives data from wireless industrial IoT sensors through an encrypted & secured network and analyzes it using advanced signal processing algorithms such as CEEMDAN and sophisticated neural nets such as Wavelet Neural nets, to detect even small changes in the machine, thereby preventing unplanned downtime and increasing the overall efficiency of the manufacturing operations.
TransformerLF monitors the condition of transformers in real-time and predicts their Remaining Useful Life. It automatically detects patterns by building a prediction model that detects partial discharges and winding deformations in Transformers, thereby empowering the maintenance & reliability teams.
NrgMonitorTM is an Energy Efficiency & Health Analytics Platform that helps manufacturers track their energy efficiency & carbon footprint, along with condition monitoring of their motor-driven equipment. It determines which assets are consuming higher energy and allows maintenance teams to mitigate any inefficiencies in their energy consumption, Moreover, it helps them pinpoint faults with the potential to cause downtime, and identifies when a given equipment is approaching the end of its Remaining Useful Life. It employs a data-driven approach to help operators achieve their Net-Zero goals while preventing unplanned downtime.