Unforeseen asset downtime is a high operational risk to manufacturers, requiring deeper insights into asset health that IoT sensors and real-time condition monitoring alone are not able to deliver.
4Pointx PdM solution uses AI to automate the analysis. By correlating signals from multiple sensors, the solution detects anomalies (aka leading indicators) that usually show up as early as 60 to 90 days prior to the actual failure.
Our Build AI analyses the full spectrum of sensor data captured for an asset in order to define and build what are considered its normal operating signatures.
Our Predict AI scans every incoming asset data to compare and predict any unusual behavior that deviates from normal operating signatures.
Use our Explain AI to know what parameters are causing the unusual behavior, and how much does it deviate from the normal.
As the SME validates the abnormalities, our Learn AI incrementally learns in the background resulting in lesser and high-fidelity alarms.