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Predictive maintenance encompasses strategies and activities designed to assess the condition of equipment and predict when maintenance should be performed in order to prevent unexpected failures. Vibration monitoring, lubrication analysis, and ultrasonic noise detection are all specific techniques that can help identify potential issues with machinery before they lead to costly downtime or breakdowns.

For instance, vibration monitoring allows technicians to detect abnormalities that might indicate a problem with mechanical components, while lubrication analysis focuses on assessing the quality of the lubricant to determine if components are adequately protected against wear. Ultrasonic noise detection can reveal issues that might not be visible through other methods, such as air leaks or migrating lubricants.

These predictive maintenance tasks utilize data and technology to provide insights that can prolong the lifespan of equipment, improve reliability, and ultimately save costs. The other options, while important in maintenance practices, do not directly involve predictive measures aimed at forecasting equipment failure or maintenance needs in advance.