Get the Maximum From Legacy Infrastructure and Ensure Up Time
By combining real-time sensor data with historical performance and other external metrics, DataRPM’s anomaly detection and prediction algorithms help you get the most from legacy infrastructure and ensure continuous operations. Its holistic models help reduce unplanned downtime, boost overall equipment effectiveness and increase asset life.
The key is anomaly detection—the process of identifying outliers in a normal range of performance. Historical data, current data and external influencing factors are analyzed simultaneously to establish baselines for asset performance on an ongoing basis.
When implemented through unsupervised machine-learning, anomaly detection can help predict future anomalies before they happen so you can take appropriate action. The result is assets that last longer and perform at their best—helping you avoid costly repairs and downtime.