Which type of maintenance focuses on statistical analysis to predict equipment failures?

Predictive maintenance involves using statistical analysis and data trends to forecast when equipment failures may occur. This approach relies on monitoring the condition of equipment through various techniques, such as vibration analysis, thermal imaging, and oil analysis. By analyzing this data, maintenance teams can identify patterns that suggest when a machine is likely to fail, allowing for timely interventions before actual breakdowns happen. This can lead to reduced downtime, increased equipment lifespan, and optimized maintenance schedules. The focus is on maintaining the machinery not just at set intervals, but based on its actual condition and predicted future performance. This method starkly contrasts with other maintenance types, which may rely on scheduled tasks or reactions to failures rather than proactive predictions.