Automation of predictive maintenance
The implementation of a predictive maintenance system enables the anticipation of a failure or an incident in industrial machines by analyzing the data of their operation, whereby a possible performance degradation is detected in time before it occurs. A large amount of data history, both of correct operation and of failures, is typically required to train the models that detect these anomalies. However, this solution developed by Keepler removes this barrier and can work with a reduced data set and current data of correct operation.
For those companies that want to improve their service and save costs, this is a cloud-based solution that relies on machine learning in order to continuously optimize the predictive algorithm. Fully customizable to give the best answer to performance and maintenance issues.