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A lighter role-based command surface backed by a typed backend API for asset reliability, operations control, ESG performance, asset drill-downs, and work-order flow.
Asset Health Index
Backend-calculated fleet average
Failure Risk
At risk in next 48 hours
Active Alerts
Queue updates through backend
MTBF Trend
Improved vs last quarter
Metric provenance
Ingestion: Backend aggregation of simulated historian readings, asset master records, and maintenance status snapshots
Governance: Fleet average is calculated server-side from individual asset health scores so all role views use the same value.
Validated 06 May 2026, 10:45:00
Metric provenance
Ingestion: Risk scores above threshold are counted from the backend asset-risk collection
Governance: Counts include assets at or above 70% risk or assets marked critical, matching the explainability threshold shown in the portal.
Validated 06 May 2026, 11:10:00
Metric provenance
Ingestion: Backend alert list updated by simulated telemetry refreshes and acknowledgement mutations
Governance: Acknowledged alerts are removed from the active queue while retained in operational workflow history in a production integration.
Validated 06 May 2026, 11:30:00
Metric provenance
Ingestion: Prototype trend derived from asset MTBF fields and quarter-over-quarter reliability reference values
Governance: MTBF trend should be recalibrated once validated failure labels and closed work-order history are connected during inception.
Validated 05 May 2026, 16:00:00
Failure-risk scores combine telemetry deviations, correlated operating context, maintenance history, and threshold rules so engineers can see why the model is escalating an asset.
MCM Asset Failure Risk Ensemble
Next 48 hours
≥ 70%
82°C
4.6 mm/s
410 hours
2026-05-17
Predictive model explainability
Rules and supervised-learning style features derived from simulated historian trends, alert history, maintenance intervals, MTBF movement, and operating baselines for the RFP prototype.
88%
70%
Thermal deviation
Observed 83°C vs 63°C operating baseline
Temperature is compared with the asset's normal operating band and increases risk when it remains above baseline for the current duty cycle.
increases riskVibration RMS
Observed 5.8 mm/s vs 3.2 mm/s underground baseline
Rising vibration is correlated with bearing wear, misalignment, looseness, or driveline fatigue depending on subsystem type.
increases riskMTBF deterioration
Observed 410 hours, 44% below reference fleet trend vs Fleet peer baseline over comparable duty cycles
The model compares recent reliability performance with peer assets to detect degradation that may not appear in a single sensor alone.
increases riskMaintenance proximity
Observed 11 days to next planned service vs Planned-maintenance interval and open work-order history
Risk increases when the model sees elevated sensor signals close to a service event or with unresolved work orders.
reduces riskCorrelation logic
Recommended action logic
Because the risk score is above the 70% decision threshold and the dominant drivers match Belt drive failure patterns, the portal recommends: Inspect bearing C3-L for lubrication loss.
Data quality and assumptions
Last simulated poll within 60 seconds; underground network quality assumed variable.
Related alerts
Work orders