Predictive Maintenance
Use condition evidence to plan maintenance before functional failure where degradation is detectable.
What this topic covers
Use condition evidence to plan maintenance before functional failure where degradation is detectable.
Core ideas
Predictive maintenance works best when a failure mode produces measurable change with useful lead time.
False alerts and missed failures mean models and thresholds require validation.
Criticality and maintenance logistics determine how a prediction should change work priority.
Program tradeoffs
Data must retain asset identity, timestamp, units and operating context to support reliable trend analysis.
What good evidence looks like
Anomalies and model predictions are decision support, not automatic proof of failure.
Lifecycle perspective
OT security should protect monitoring availability and integrity without interfering with safe operation.