Feature
Predictive Analytics
Equipment health scores update in real time as sensor readings are ingested. Trend-based forecasting flags degradation trajectories before they cross failure thresholds — giving your team time to act.
Start Free Trial →Ensemble scoring formula
score = 0.6 × LSTM_norm + 0.4 × RF_prob
60%
LSTM score weight
Reconstruction error normalised to [0,1]
40%
RF score weight
Random Forest anomaly probability
0.5
Anomaly threshold
Ensemble score that triggers an alert
Up to −10 pts
Health decay rate
Per critical anomaly event
Equipment health model
Health score decay
Each piece of equipment starts at 100% health. Every anomaly event decays the score proportionally to severity — critical anomalies deduct up to 10 points, medium anomalies up to 4 points.
Critical anomaly−10 pts
High anomaly−7 pts
Medium anomaly−4 pts
Normal reading0 pts
Dashboard visibility
Every health score is displayed in the fleet dashboard alongside trend sparklines. Operators can see at a glance which machines need attention and which are operating normally.
- Fleet-wide health overview
- Per-machine trend chart
- Alert history with timestamps
- Maintenance task integration