CPNET turns raw machine signals and maintenance history into early warnings, remaining-life estimates, and stress-reducing setpoint recommendations—so you can plan work, avoid unplanned downtime, and keep quality steady.
What is CPNET Predictive Maintenance?
CPNET Predictive Maintenance (PdM) fuses historian data (temps, currents, vibration, acoustics), quality and throughput, and CMMS/EAM work orders to detect anomalies, estimate Remaining Useful Life (RUL), and tie each risk back to process conditions. When risk rises, Rx+ can propose safe recipe or speed adjustments to reduce load until you can schedule the fix.
Built for: steel, plastics, construction materials, and other continuous manufacturing lines where uptime is everything.
How customers use CPNET for Predictive Maintenance
Connect & map
Bring in historian/SCADA tags, asset registry, and CMMS work orders/parts lists. Map assets to lines, units, and lots in a simple Form.
Label & learn
Select critical assets (motors, gearboxes, bearings, fans, pumps). CPNET links past failures/repairs to sensor patterns and process loads to train anomaly/RUL models.
Watch health in real time
CPNET scores each asset’s health index and RUL with uncertainty. Composite signals (vibration+temperature+current+process load) flag early drift from normal.
Alert & prescribe
Set prediction alerts with severity and preview windows. Rx+ suggests temporary recipe offsets (e.g., ramp speed −5%, cooling +3%) to reduce stress while you plan the repair.
Plan, execute, verify
Use the maintenance planner to pick a window before predicted failure, check parts availability, and track post-repair signatures to confirm the fix worked.
Why teams choose CPNET for PdM
Fewer unplanned stops
Early warnings + RUL estimates let you plan repairs during scheduled windows.
From risk to action
Rx+ turns “bearing risk ↑” into concrete setpoint changes that reduce load and scrap risk right now.
Explainable & trusted
Every alert shows drivers, evidence windows, and confidence—not a black box.
Quality-aware maintenance
Links asset health to quality drift and scrap, so you see true cost of waiting.
Works with your stack
Historian, MES, CMMS in; Vue/Highcharts dashboards and Alerts out—no rip-and-replace.
Ready to get ahead of failures?
With CPNET, your team turns weak signals into planned actions—and keeps production, quality, and cost where they belong.
Let’s talk. We’ll stand up Predictive Maintenance on your assets and start catching issues early.
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