Predictive Maintenance — Solutions Library | XMPro

Real-time monitoring, predicted failure modes and energy-efficient operation across every conveyor on the line.

Rank the network by failure risk and consequence — turn aging-pipe replacement into a defensible capital plan.

Section-by-section monitoring of mainline conveyors with predicted failure modes ranked by service criticality.

Plant-wide condition monitoring with predicted failure, synchronised maintenance and a digital twin tying it together.

Live wheel-wear, axle-load and bearing-temperature signals tied to predicted bogie failure modes across the fleet.

Vibration, flow, pressure, energy and water-quality fused into one boiler-feed-pump condition picture.

Zone-based compressor monitoring with predicted failure modes routed directly into work-request creation.

Zone-based hydraulic system monitoring with predicted failure modes routed directly into work-request creation.

Bad actors first, hybrid engineering + ML models, asset-class templates — condition monitoring run as a programme.

Per-fan cooling-tower monitoring tied to predictive maintenance, energy efficiency and environmental compliance.

Real-time condition monitoring for cyclones and slurry pumps across processing plants and utility networks.

Continuous demin-water chemistry monitoring that surfaces boiler-tube corrosion risk before it forces an outage.

Real-time track-geometry monitoring with predicted deviations ranked by derailment risk.

Multi-site turbine performance and maintenance under one operational picture with per-asset digital twins.

Plan well interventions on actual condition with synchronised crew, rig and parts allocation.

Real-time well, equipment and parameter monitoring during return-to-production with predicted maintenance.

Predict scale build-up in cooling pipes from flow, pressure and chemistry data — clean before efficiency collapses.

Forecast heat exchanger fouling from live U-coefficient trends — clean during planned outages, not unplanned ones.

Stream-based component health monitoring with AOG-risk prediction and audit-ready airworthiness traceability.

Engine, drivetrain, hydraulic and tyre telemetry fused into ranked predictions per truck — synchronised with the maintenance plan.

Mixed-fleet mobile asset prediction — engine, hydraulic and OEM telemetry fused into one condition view per asset class.

Predict heat-exchanger fouling, pump wear and pasteurisation drift before quality or compliance slips.

Per-arm prediction across mechanical wear and electrical faults — current, vibration, temperature and acoustic telemetry fused into ranked actions.

Predict turbine failures before they ground the farm — gearboxes, bearings and blades, ranked by remaining useful life.