What does predictive maintenance primarily rely on?

Predictive maintenance primarily relies on real-time data from equipment monitoring. This methodology focuses on using advanced technologies to continuously monitor the condition and performance of equipment. Sensors and monitoring systems collect data on various parameters such as temperature, vibration, and pressure. By analyzing this real-time information, maintenance teams can identify signs of potential failure before they occur, allowing for timely interventions.

This proactive approach contrasts with scheduled inspections that occur without regard to the actual condition of the equipment, as well as methods that depend solely on historical performance data or anecdotal evidence from employee feedback. Real-time monitoring provides a more accurate and current assessment of an equipment's health, thereby enabling maintenance actions to be tailored precisely to the actual needs of the machinery.