Condition Monitoring · MINING · WATER UTILITIES
Slurry pumps and cyclones monitored as predicted condition, not OEM calendar.
Cyclones and slurry pumps handle abrasive material continuously across mining processing plants and water utility networks — wear is constant, failure modes are specific, and OEM service intervals miss what is actually happening on the asset. The XMPro AO Platform monitors every pump in real time, predicts the failure mode and routes ranked recommendations into work-request creation.
What's getting in the way today.
Cyclones and slurry pumps degrade quickly against abrasive flow. Four pressures compound:
Abrasive wear
Continuous slurry flow drives rapid degradation across impellers, bearings, seals and casings — failures arrive as unplanned stops without continuous telemetry.
Reactive maintenance
OEM calendar intervals either over-service healthy pumps or miss degradation already underway — both cost throughput and crew time.
Hidden performance drift
Discharge pressure variance, flow-rate drop and motor-current climb hide in aggregate plant data until output suffers — root cause emerges late.
Safety exposure
Pumps running outside safe limits create personnel and process hazards that grow until they’re caught manually during walkdowns.
Cyclone & Slurry Pump Condition Monitoring — how it works.
A unified condition picture of every cyclone and slurry pump — fed by the sensors already on the asset, modelled in a digital twin and tied to predictive maintenance.
The platform integrates live telemetry from pump and cyclone instrumentation — discharge pressure, flow rate, motor current, vibration and temperature — and contextualises it with maintenance history, asset specifications and operational state. A digital twin gives reliability engineers a dynamic virtual representation for scenario analysis. ML models including anomaly detection, regression and forecasting predict component degradation and surface ranked recommendations with confidence scoring and time-to-action windows. Threshold breaches trigger automatic alerts routed by severity, and dashboards drill from plant-level health into individual pumps so maintenance moves from reactive to predicted.
*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 maintenance windows
Pump degradation surfaces ahead of failure so processing-plant outages move into planned windows rather than emergency response.
Right-sized service intervals
Work moves from OEM calendar to actual pump condition, freeing crew time for higher-value reliability tasks.
Safer operating envelope
Pumps 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.
