Weibull Failure Analysis In Minutes

What's in the report?

Standard-library analysis: how do components fail over time? Fits a two-parameter Weibull life distribution to your time-to-failure data with right-censoring handled properly — units still running when observation stopped are counted for exactly as long as they lasted instead of being dropped or treated as failures. You get the shape parameter beta with a confidence interval and the failure-mode reading that comes with it (below 1 = infant mortality, around 1 = random failure, above 1 = wear-out), the characteristic life eta, B10 and B50 life, MTBF, the reliability curve R(t) with a clearly-labelled forward projection, the hazard curve, and a Weibull probability plot with the fitted line so you can see whether the distribution actually fits. Works on any life data: map a duration column and a failure flag.