Maintenance & Reliability calculator
Weibull Percentile Life Calculator
Estimate the life associated with a chosen failed-population percentile. Enter fitted Weibull scale and shape parameters, the failed percentage and your required percentile life.
What this calculator does
- Estimate a failed-population life percentile from an accepted two-parameter Weibull model.
Formula used
- Percentile life = eta × (−ln(1 − failed percentage ÷ 100))^(1 ÷ beta)
- Median life = eta × ln(2)^(1 ÷ beta)
- Surviving percentage = 100 − failed percentage
- Life margin = percentile life − required percentile life
Inputs explained
- Characteristic Life: Fitted Weibull scale parameter for the intended operating conditions.
- Weibull Shape: Positive shape parameter from your fitted reliability model.
- Failed Population Percentile: Population fraction expected to fail by the reported life.
- Required Percentile Life: Your required life at this same failed-population percentile.
How to use the result
- Best suited to fitted life model Review, percentile requirement comparison.
- This calculation does not fit parameters or establish confidence bounds. A life percentile is a population statement, not an individual replacement deadline.
Current U.S. benchmarks
- U.S. manufacturing runs at 75.7% of capacity (Federal Reserve, Aug 2026). New factory orders are up 8.5% year over year (Census).
Common questions
- Does a 10% percentile mean 10% survive? No, it means the model predicts 10% have failed by that life. The surviving fraction is 90%.
- Is characteristic life the average life? No, characteristic life is the scale parameter. The mean depends on the shape, and the median is shown separately here.
- Can I use a duty multiplier as the shape? No, beta is a fitted Weibull shape parameter. An arbitrary duty multiplier does not describe a failure distribution.
- Why is a 100% failed percentile unavailable? The Weibull model reaches complete population failure only as time approaches infinity. A finite life requires a failed percentage below 100%.
Last reviewed 2026-10-06.