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Condition Based Monitoring

Prevention-Failure curve

The PF curve, or Prevention-Failure curve, is a valuable tool in maintenance and reliability engineering that offers a graphical representation of the time interval between detecting a potential failure and experiencing an actual functional failure. By understanding this concept, businesses can develop effective maintenance strategies that minimize unplanned downtime and optimize the timing of preventive maintenance actions.

The curve starts with the “P” point, which represents the earliest detection of a potential failure, such as a small anomaly indicating a deviation from normal operating conditions. The curve then progresses to the “F” point, where the equipment no longer meets performance standards or fails to perform its intended function.

To proactively manage potential failures, advanced techniques like vibration analysis and thermography are used in predictive maintenance. Vibration analysis helps monitor machinery condition, especially rotating and reciprocating machinery, by measuring vibrations. Thermography, on the other hand, detects heat patterns and anomalies in equipment using infrared cameras, providing early indicators of damage. By using these techniques, businesses can detect failures at an early stage, allowing them to plan and react before significant disruptions occur. Using these techniques will help a business migrate from reactive maintenance to predictive and proactive maintenance.

Prevention-Failure curve