System Nominal
NS
History

Analytics & Anomaly Trends

Six months of fleet-wide anomaly density, fault-type distributions, and model accuracy — all scoped to the filters you care about.

Anomaly Density

Daily anomaly intensity across the fleet

2,184 events·+12% vs prev period
MonWedFri
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Model Accuracy · 90 days

Precision / Recall against labeled outcomes

Precision

0.942

+1.3%

Recall

0.911

+0.7%

F1

0.926

+1.0%

Fault Distribution

Share of predicted faults by type

Bearing wear42%
Misalignment24%
Lubrication16%
Thermal12%
Electrical6%

MTBF

1,284h

MTTR

2h 18m

Prevented

18 incidents

Saved

$412k est.

CNC Mill A1

Health index · 7d trend

94Score

Press B4

Health index · 7d trend

71Score

Robot R7

Health index · 7d trend

42Score

Pump T9

Health index · 7d trend

76Score