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Non-rejuvenating events, like oil changes, alignment, and calibration, play a crucial role in condition monitoring (CM) data. However, these events do not add life to an asset. For instance, while changes may improve the observable condition of equipment, such adjustments should not mislead the analysis into believing that the asset's overall health or lifespan has improved. This document illustrates how to track CM data trends and the importance of acknowledging non-rejuvenating events to prevent inaccurate assessments of asset health over time.
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Non-rejuvenating events affect CM data but do not add life to an asset. e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. Fe ppm Working age To demonstrate the use of non-rejuvenating event data, this chart will track a CBM data trend.
B C A Non-rejuvinating events affect CM data but do not add life to an asset. e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. Fe ppm Working age The condition of the equipment at point C appears to be improving.
B C A Non-rejuvinating events affect CM data but do not add life to an asset. e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. Fe ppm Working age … but only if we infer that the trajectory is A to B to C.
B C A D Oil change interval Non-rejuvinating events affect CM data but do not add life to an asset. e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. Fe ppm Working age Now we are told that an oil change took place at D.
B C A D Oil change interval Non-rejuvinating events affect CM data but do not add life to an asset. e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. Fe ppm Hence the actual path is ABDC. If we ignore non-rejuvenating events we may mislead the analysis into thinking that the asset’s condition has “magically” improved. Working age