- Sold by Keepler Data Tech
The implementation of a predictive maintenance system enables the anticipation of a failure or incident in industrial machines by analyzing the data of their operation. Predicting the moment when the equipment might fail allows to: avoid unplanned stoppages, extend production cycles between maintenance work downtime, keep repair time to a minimum, extend the components service life and reduce spare parts stock. A large dataset, both of correct operation and failures, is typically required to train the models that detect these anomalies. However, the solution developed by Keepler removes this barrier, and just needs a reduced dataset and current data of correct operation.
