Which term refers to maintenance performed based on predicted future conditions of equipment?

Predictive maintenance refers to the maintenance practices that are conducted based on the anticipated future conditions and performance of equipment. This approach utilizes data analysis tools and techniques to detect anomalies in equipment operation and to determine when maintenance should be performed. By predicting when equipment is likely to fail or degrade, organizations can schedule maintenance at the optimal time, thereby reducing downtime and extending the life of the equipment.

This method differs from preventive maintenance, which is based on predetermined schedules and intervals regardless of the actual condition of the equipment. In contrast, predictive maintenance leverages real-time data and analytics, making it more responsive and efficient.

Additionally, it is distinct from corrective maintenance, which is performed after equipment has already failed, and from reactive maintenance, which is often an unplanned response to a breakdown. Predictive maintenance aims to prevent these unplanned occurrences by using data-driven insights to make informed decisions about when and how to perform maintenance tasks. Thus, the focus on predicted future conditions is what sets predictive maintenance apart as the correct answer in this context.