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Predictive Maintenance Best Practices
Start small on critical assets, validate value before scaling, and close every prediction loop.
Predictive Maintenance Best Practices
Most predictive programs fail by trying to monitor everything at once. Succeed by starting narrow and proving value.
Start Small
- Pick two or three critical assets with a history of costly unplanned failures.
- Instrument them fully — vibration, temperature, whatever matches the failure mode.
- Run for a quarter before adding more. You need wins to fund the expansion.
Validate Before Scaling
- Did the program catch a real failure early? Document it with a dollar figure.
- Did it false-alarm? Tune thresholds before adding complexity.
- Are technicians acting on the findings, or ignoring them? If ignored, fix the workflow first.
Close the Loop
Every prediction that fires must produce an inspection, a work order, or a documented no-action. Open loops erode trust in the program faster than anything else.
Tips
Predictive maintenance is a program, not a project. It needs an owner, a monthly review, and a budget line — otherwise it dies the moment the pilot enthusiasm fades.