Which type of maintenance relies on data analysis to predict equipment failure?

Predictive maintenance is the correct answer because it specifically utilizes data analysis and various monitoring techniques to forecast when equipment failure might occur. This approach allows for maintenance activities to be scheduled based on actual performance data and conditions rather than relying solely on time-based schedules. By analyzing patterns and indicators such as vibrations, temperature, or wear levels, facilities can optimize their maintenance efforts, reduce unplanned downtime, and extend the lifespan of equipment.

In contrast, preventive maintenance is carried out at regular intervals regardless of the equipment's actual condition, while reactive maintenance occurs only after equipment has failed. Corrective maintenance, similar to reactive maintenance, addresses issues after they arise but may involve a systematic approach to fixing problems rather than waiting for equipment to break down. Therefore, predictive maintenance is distinct in its proactive nature, leveraging data insights to enhance operational efficiency and reliability.