Here are the main points:
OCME measures the effectiveness of condition monitoring in detecting root causes and early failure symptoms.
It is calculated as the average percentage of Remaining Useful Life (RUL) across all machines and conditions during a set period, typically a year.
A higher OCME indicates more effective early detection and correction of reportable conditions.
A perfect OCME score of 100 signifies that the RUL did not change throughout the reporting period.
The metric excludes machines without reportable conditions or failures and can be normalized against total machine operating hours.
OCME considers different monitoring and inspection frequencies and intensities, with intensity relating to the skill and effectiveness of the tasks.
Hypothetical conditions like misalignment or water contamination are used to demonstrate OCME, with conditions detected in the proactive domain considered to have full RUL, while operational failure equates to zero RUL.
OCME serves as a strategic tool for organizations to gauge the health of their machinery and the efficiency of their condition monitoring practices.