Measure how long equipment runs between recurring failures.
Mean time between failures (MTBF) relates operating time to the number of failures observed over a defined period. It is most useful when failure definitions remain consistent and when the same asset population or operating context is compared over time.
Measure failure and recovery in production terms.
Failure frequency, repair duration, spare parts, diagnostics, planned maintenance, and root causes all influence how much scheduled production time becomes reliable uptime.
Reduce repeat failures and shorten recovery.
The strongest maintenance improvements either make failures less frequent, make recovery faster, or prevent the same failure mode from returning.
CRIT-AKeep Failure Definitions Stable
Changing what counts as a failure makes the trend difficult to interpret across time.
Related Guide →CRIT-BUse Comparable Operating Time
Calendar time and actual run time can tell very different stories for equipment that operates intermittently.
Related Guide →CRIT-CSeparate Failure Modes
One repeated component problem can dominate MTBF and should be visible rather than blended into a total asset average.
Related Guide →CRIT-DTrack After Maintenance Changes
A preventive or corrective maintenance change should produce a longer interval between relevant failures if it is effective.
Related Guide →Visualize reliability performance over time.
These diagrams focus on reliability trend and the operating cycle between failure, repair, verification, and return to service.
Reliability trend.
Track whether failures are becoming less frequent or repair time is shrinking after corrective work.
Maintenance loop.
Failure information should feed back into inspection, service, spare-parts planning, and corrective action.
Relevant maintenance and repair resources.
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