1. Non-rejuvenating events

2. 2 Fe ppm Working age e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. affect CM data but do not add life to an asset. To demonstrate the use of non- rejuvenating event data, this chart will track a CBM data trend.

3. 3 The condition of the equipment at point C appears to be improving. Non-rejuvinating events A C B Fe ppm Working age e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. affect CM data but do not add life to an asset.

4. 4 Non-rejuvinating events A C B Fe ppm Working age e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. affect CM data but do not add life to an asset. … but only if we infer that the trajectory is A to B to C.

5. 5 Non-rejuvinating events A C B Fe ppm Working age D Oil change interval e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. affect CM data but do not add life to an asset. Now we are told that an oil change took place at D.

6. 6 Non-rejuvinating events A C B Fe ppm Working age D Oil change interval e.g. Oil changes, alignment, balancing, cleaning, ajustment, calibration, etc. affect CM data but do not add life to an asset. Hence the actual path is ABDC. If we ignore non-rejuvenating events we may mislead the analysis into thinking that the assets condition has magically improved.