Fleet downtime risk
9%56
avg across 5 machines
OEE
7%74.8%
baseline 65% → target 73%
Energy today
6%2,065 kWh
CO₂ saved (mo.)
12%1,180 kg
€6,840 cost saved
Machines
View all →Overall Equipment Effectiveness
88.8%
Availability
86.1%
Performance
97.8%
Quality
Energy · actual vs forecast
next 12h · ProphetDowntime & cost · last 8 weeks
Energy by machine · today
Downtime risk by machine
Anomaly alerts
3 activePower draw 60% above expected — possible air leak or failing valve.
Vibration RMS rising sharply over 6h — bearing wear signature.
Heating element underperforming — longer cure cycles, more energy/unit.
AI recommendations
explainable · human-approvedFailure probability 88% within 72h. A pre-emptive spindle service avoids an unplanned ~47-min stop and scrap.
Drivers: spindle_temp_trend (+0.41) · vibration_rms (+0.33) · load_cycles (+0.12)
Anomalous draw since 08:20. Leak repair restores baseline consumption (~8.5 kWh/h saved during operation).
Drivers: kwh_vs_expected (+0.58) · duty_cycle (+0.21)
Degraded element lengthens cure cycles. Replacement cuts energy per unit ~9% and stabilises throughput.
Drivers: cycle_time_drift (+0.37) · temp_setpoint_gap (+0.29)