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MTBF & MTTR Calculator

Turn your runtime and downtime logs into two of the most important reliability metrics in maintenance: Mean Time Between Failures and Mean Time to Repair.

MTBF and MTTR calculator inputs and results

Your Asset Data

E.g. 8,760 hrs for one full year

Reliability Metrics

MTBFWorld Class

726 hrs

Mean Time Between Failures

MTTRWorld Class

4 hrs

Mean Time to Repair

What MTBF and MTTR Actually Measure

MTBF (Mean Time Between Failures) measures how long an asset typically operates before it breaks down. It’s calculated by subtracting total downtime from total runtime, then dividing by the number of breakdown events. A rising MTBF over time is a strong signal that your maintenance program — preventive tasks, lubrication schedules, condition monitoring — is extending asset life.

MTTR (Mean Time to Repair) measures how long it takes your team to restore an asset once it fails, calculated as total downtime divided by the number of breakdown events. A falling MTTR usually reflects better spare parts availability, clearer repair procedures, or a more experienced maintenance team.

Tracking both metrics together matters because they pull on different levers. Maximizing MTBF prevents the failure altogether, which avoids the capital replacement cycle that follows a major breakdown. Minimizing MTTR shrinks the damage when a failure does happen anyway. Facilities teams that only watch one of the two get an incomplete picture — an asset can have an excellent MTBF but still cause major disruption if MTTR is high, or vice versa.

Frequently Asked Questions

MTBF (Mean Time Between Failures) is calculated as (Total Operational Runtime − Total Downtime) divided by the Number of Breakdown Events. It tells you, on average, how many hours an asset runs before it fails. A higher MTBF means a more reliable asset.

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