52
Fleet Health Score
9
Assets at Risk
$24,900
Predicted Savings
597
Active Anomalies
Active Alerts 9 assets
Fleet Assets
Select an asset from the fleet list to view its sensor charts and maintenance recommendation.
Health Score
Anomalies
Runtime hrs
Loading sensor data...
Vibration
mm/s
Normal range
Anomaly
Temperature
°C
Normal range
Anomaly
Acoustic
dB
Normal range
Anomaly
Maintenance Recommendation
est. maintenance cost
Maintenance Schedule
| Asset | Type | Location | Health | Priority | Recommended Action | Est. Cost |
|---|---|---|---|---|---|---|
| Forklift Bravo | Electric Forklift | Zone A Storage | 44 | WARNING | Schedule bearing inspection and lubrication within 7 days. | $950 |
| Sort Drive East | Sortation Drive | Sort Zone East | 44 | WARNING | Alignment check and belt tension adjustment within 5 days. | $1,800 |
| Sort Drive North | Sortation Drive | Sort Zone North | 51 | WARNING | Alignment check and belt tension adjustment within 5 days. | $1,800 |
| Forklift Alpha | Electric Forklift | Receiving Dock | 55 | WARNING | Schedule bearing inspection and lubrication within 7 days. | $950 |
| Forklift Charlie | Electric Forklift | Shipping Dock | 55 | WARNING | Schedule bearing inspection and lubrication within 7 days. | $950 |
| Conveyor Motor 1 | Conveyor Motor | Inbound Line 1 | 55 | WARNING | Thermal inspection; check cooling fan and belt tension within 7 days. | $1,400 |
| Conveyor Motor 2 | Conveyor Motor | Inbound Line 2 | 55 | WARNING | Thermal inspection; check cooling fan and belt tension within 7 days. | $1,400 |
| Conveyor Motor 3 | Conveyor Motor | Outbound Line | 55 | WARNING | Thermal inspection; check cooling fan and belt tension within 7 days. | $1,400 |
| Sort Drive South | Sortation Drive | Sort Zone South | 55 | WARNING | Alignment check and belt tension adjustment within 5 days. | $1,800 |
How the Detection Works
Each asset streams vibration, temperature, and acoustic readings at 15-minute intervals. Two statistical detectors run in tandem, then a composite health score and linear trend extrapolation drive prioritized work orders.
IoT Sensor Network
Accelerometers, RTDs, and acoustic emission sensors mounted at mechanical stress points: motor housings, gearboxes, and belt splice points: stream 15-minute telemetry to the edge processing layer.
Z-Score Detection
Each reading is scored against the global mean and standard deviation for that sensor/asset combination. Readings beyond ±2.5σ are flagged as global anomalies, catching sudden events like motor overheating.
Rolling Mean Deviation
A 20-point rolling window tracks local baseline behavior. Deviations beyond 2.5× the window σ surface gradual drift patterns such as bearing wear and misalignment that Z-score alone misses.
Health Score (0-100)
Composite score penalizes anomaly density (recent anomalies weighted 2×) and sensor proximity to failure thresholds. Fleet-level score is the unweighted asset average.
Days-to-Failure Forecast
Linear regression on the second half of the sensor series extrapolates the current trend to the failure threshold. Gives maintenance planners a specific scheduling window.
Prescriptive Work Orders
Health score and failure forecast map to a three-tier maintenance matrix: Critical (immediate), Warning (within 7 days), and Routine (next PM cycle): with specific subsystem action and cost estimate.
Need a maintenance workflow built around your fleet?
A production system has to fit your telemetry, asset records, work orders, and maintenance team. This demo uses synthetic data; a real scope starts with those sources.
Request a scoping call