Condition Monitoring · MANUFACTURING
Compressors that flag failure before they stop the line.
Industrial compressors run continuously and degrade quietly — a vibration drift here, a coolant pressure climb there — until a tripped unit halts upstream and downstream operations. The XMPro AO Platform monitors every compressor in real time, predicts the failure mode, and routes ranked recommendations directly into work-request creation.
What's getting in the way today.
Compressor reliability sits at the centre of manufacturing throughput. Four pressures compound:
Hidden degradation
Bearing wear, motor inefficiency and coolant-pressure drift develop quietly between scheduled checks — failures surface as unplanned trips, not as warnings.
Reactive maintenance cycles
Calendar-driven service either over-services healthy assets or misses degradation already underway — both eat throughput and crew time.
Fragmented telemetry
Vibration, temperature, motor current and pressure live in separate systems — the patterns that predict failure go unseen because no one is correlating the streams.
Safety exposure
Compressors running outside safe limits create personnel and process hazards that grow until they’re caught manually.
Compressor Condition Monitoring — how it works.
A zone-based view of every compressor on the factory floor — fed by the sensors already on the assets, with ranked recommendations that feed directly into work-request creation.
The platform integrates vibration, pressure, temperature, motor current and airflow data continuously across every compressor. ML models analyse this telemetry to predict failure modes — bearing wear, motor amperage anomalies, coolant-pressure drift, abnormal pressure profiles — with threshold-driven alerting and confidence scoring. A zone-based dashboard surfaces colour-coded compressor status across factory zones, and per-asset drill-down shows live metrics, recent alerts and historical trends. Threshold breaches generate ranked recommendations with event data, parts list and special-instruction notes, feeding directly into work-request creation across email, Microsoft Teams and the alert dashboard.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Predicted condition, planned maintenance
Failure modes surface ahead of the trip so production plans around interventions rather than reacting to them.
Right-sized service intervals
Work moves from OEM calendar to actual compressor condition, freeing crew time for higher-value reliability tasks.
Safer operating envelope
Compressors running outside safe limits are flagged in real time, before the hazard becomes an incident.
Built for these industries.
Other solutions you might explore.
Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
