Analytics

Predictive risk analysis and failure forecasting

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Prediction Table

Asset	Signal Type	Risk Level	Confidence	Time Horizon	Source
Pump-A-01	Vibration + Temperature	high	89%	2-3 days	Cross-sensor correlation
Compressor-B-03	Current + Acoustic	high	84%	3-5 days	Trend accumulation
Motor-D-05	Vibration	medium	76%	1-2 weeks	Drift pattern
Generator-C-02	Temperature	medium	72%	2-3 weeks	Baseline deviation
Turbine-E-01	Pressure + Flow	low	68%	3-4 weeks	Weak signal clustering
Valve-F-04	Acoustic	low	64%	4-6 weeks	Intermittent anomaly

Prediction Methodology

Sources of Prediction

• Drift — Gradual deviation from established baseline behavior
• Cross-sensor inconsistency — Correlated anomalies across multiple signal types
• Trend accumulation — Persistent directional change over extended periods
• Pattern recurrence — Repeating anomaly signatures with increasing frequency

Dashboard Surfacing Rule

Only confirmed or high-confidence predictions (≥80%) surface on the Operations Dashboard. Medium and low confidence signals remain in Analytics for monitoring and validation.

Important Note

These predictions represent early indications of potential degradation, not guaranteed failures. They are derived from behavioral analysis and should inform inspection scheduling, not emergency responses.

Hours to Days

Immediate attention required

Days to Weeks

Schedule inspection

Weeks to Months

Monitor for changes