Core Reliability
MTTF Calculator
Mean time to failure for non-repairable items — from total operating time or individual lifetimes — with the MTTF vs MTBF distinction explained.
MTTF = Σtᵢ ÷ nWhat is MTTF?
Mean Time To Failure (MTTF) measures the average time a non-repairable system operates before it fails permanently. Unlike MTBF, MTTF applies to components that are replaced rather than repaired — such as light bulbs, bearings, or semiconductor chips.
- Applies to non-repairable items only
- Predicts component lifespan
- Drives replacement scheduling
- Used in warranty period calculations
- Essential for spare parts inventory
MTTF formula
MTTF = Total operating time ÷ Number of units that failedMTTF = (t₁ + t₂ + … + tₙ) ÷ nEach tᵢ is the time-to-failure for unit i, and n is the total number of units that failed.
MTTF vs MTBF — key differences
| Feature | MTTF | MTBF |
|---|---|---|
| System type | Non-repairable | Repairable |
| After failure | Replaced entirely | Repaired and returned to service |
| Examples | Light bulbs, bearings, fuses | Machines, vehicles, servers |
| Formula | Total time ÷ units failed | Total time ÷ number of failures |
| Use case | Component replacement planning | Maintenance scheduling |
MTTF calculation example
A manufacturer tests 5 LED bulbs until failure and records their lifetimes:
| Bulb | Lifetime |
|---|---|
| 1 | 25,000 h |
| 2 | 30,000 h |
| 3 | 22,000 h |
| 4 | 28,000 h |
| 5 | 35,000 h |
25,000 + 30,000 + 22,000 + 28,000 + 35,000 = 140,000 h140,000 ÷ 5 = 28,000 hIf lifetimes followed an exponential distribution, the median life would be MTTF × ln 2 ≈ 19,408 h. LEDs wear out rather than fail randomly, so for this sample the observed median (28,000 h) is the more realistic figure — a reminder to check the distribution before relying on exponential formulas.