What type of maintenance is described as proactive and based on condition-monitoring data?

Predictive maintenance is characterized by its proactive approach, utilizing condition-monitoring data to anticipate equipment failures and optimize maintenance scheduling. This practice involves collecting and analyzing data related to the performance and condition of machinery to determine when maintenance should be performed, rather than following a fixed schedule or responding to failures after they occur.

By employing techniques such as vibration analysis, thermal imaging, and oil analysis, predictive maintenance allows engineers and maintenance personnel to make informed decisions. This not only minimizes unplanned downtimes but also enhances the overall efficiency and longevity of equipment. Maintenance activities can then be performed just in time to prevent failure while avoiding unnecessary maintenance tasks based on arbitrary time intervals or usage metrics.

In contrast, corrective maintenance addresses problems after they have occurred, and reactive maintenance involves responding to failures as they happen without prior analysis of conditions. Preventive maintenance is also scheduled but is typically based on a predetermined time or usage interval rather than real-time data. Thus, predictive maintenance stands out for its reliance on actual equipment conditions to inform maintenance strategies.