Predictive Maintenance

Remaining-useful-life forecasts and explainable failure predictions across the asset graph.

Predicted Failures (30d)

Assets within RUL horizon

Avg Lead Time

17 days

Warning before failure

Downtime Avoided

$42k

If predictions actioned

Model Accuracy

89%

Rolling 90-day backtest

Remaining Useful Life — watchlist

Estimated days to failure for the 6 highest-risk assets, over a 60-day horizon.

<7d<30d≥30d

At risk90% conf

8 days to failureest. Jul 31

At risk89% conf

9 days to failureest. Aug 1

At risk85% conf

13 days to failureest. Aug 5

At risk79% conf

20 days to failureest. Aug 12

At risk74% conf

26 days to failureest. Aug 18

At risk73% conf

27 days to failureest. Aug 19

Critical4 days to failure

$42k

at risk

Vibration telemetry shows an accelerating fault signature. 85% probability of failure within 4 days.

Model confidence85%

Why the model flagged this