Predictive Maintenance
Predict equipment problems before they become downtime
Use existing machine and sensor data to identify developing faults, predict breakdown risk and priortise maintenance
Equipment rarely fails without leaving a trace
Temperature, vibration, pressure, current, flow and process conditions can contain early signals of developing equipment problems. The opportunity is to detect those signals and act before they become downtime.
Detect developing problems
Identify performance degradation
Predict failure risk
Act earlier
How it works
Operational data is continuously analysed to detect abnormal behavior, identify developing equipment risk and support earlier maintenance decisions..
Data
Sensors + history
Detect and understand
Identify abnormal patterns and influencing factors
Predict and act
Assess developing failure risk, Alert + priortise