Predictive maintenance is a decision process, not just a sensor install. The goal is simple: intervene before failure with enough lead time to avoid disruption.
Core ingredients
- Reliable condition data from critical assets.
- Alert thresholds aligned to real operating conditions.
- Clear escalation rules for maintenance teams.
- Weekly review of false positives and missed signals.
Pilot first, then scale
Start with 5 to 10 critical assets. Track downtime incidents, emergency callouts, and intervention lead time. Expand only after pilot evidence confirms value.
ROI indicators to monitor
- Reduction in unplanned stoppages.
- Faster maintenance prioritization.
- Lower emergency procurement and overtime costs.
Predictive maintenance succeeds when engineering, operations, and leadership use the same data and action rules.