Weibull.Genie tutorial
Work left to right: life data on the Weibull Workbook, parameters and probability plot, then calculator identities, fleet risk, and demonstration. This page is the public tutorial. The in-app Tutorial tab adds live math callouts, Rank models, and the same walkthrough next to the workbook chrome.
Open the Weibull.Genie workbook Open Weibull Calculator Open the interactive tutorial
Product walkthrough
A guided tour of Weibull.Genie (~6 minutes). Same self-hosted file as the in-app Tutorial tab.
Product in one paragraph
Weibull.Genie is a client-side reliability workbook for hardware. It fits two-parameter Weibull (β, η) or lognormal (μ, σ) to right-censored times, projects Arrhenius or inverse-power accelerated life to use conditions, sizes an RDT, and exports Excel / PowerPoint. It is not a certified assessment and it is not an Omni-style PDF/CDF curve tool.
Walk-through
- Workbook grid. Time, F/S, quantity, optional STRESS. Open Weibull Workbook and try Load bearing sample (single stress) or the first-load ALT demo (500 K / 523 K / 573 K).
- Fit. Default Distribution model is Arrhenius-Weibull, Fit method MLE. Read β and η (or μ, σ). Check the probability plot before you believe a B-life.
- Calculator. Weibull Calculator evaluates R(t), F(t), BX% (B10), mean life (MTTF), remaining life, h(t), and AF from that LifeFit. See the B10, MTTF, and hazard guides for the identities.
- Mission / fleet. Warranty life and fleet size → expected failures. B1 / B10 / B50 at use stay under Test vs use on the workbook after ALT.
- RDT. Reliability Demonstration sizes a success-run (or related) demonstration at a stated life, with optional AF from the life curve.
- Export. Download Excel (life data + summary) or PowerPoint from the bottom of the workbook. Sign in is optional on the website if you want saved analyses.
Worked example (bearing sample)
Load bearing sample, Recalculate. You should see about β = 2.17, η = 716 h (wear-out). Then:
| Ask | Where | Result |
|---|---|---|
| B10 | Calculator → BX% = 10 | ≈ 254 h |
| MTTF | Calculator → Mean life | ≈ 634 h |
| R(500 h) | Calculator → R(t) | ≈ 0.632 |
| h(500 h) | Calculator → Failure rate | ≈ 0.00199 / h |
Step-by-step Weibull identities for this dataset are on Weibull analysis. Rank / recommend distribution (device type, physics of failure, close-call Hybrid weights) lives on the in-app Tutorial so it can read the live grid.
FAQ
Is this the in-app tutorial?
This URL is a crawlable guide. The interactive tutorial — math callouts, Rank models, and the walkthrough video — still lives in the app at the Tutorial tab (#tutorial). Use this page to learn the flow; use the tab when you want the live workbook beside the text.
What should I enter first?
Times greater than zero, F or S, and quantity on the Weibull Workbook grid. Start with Load bearing sample for a single-stress endurance set, or the ALT demo if you need temperature cells. Then Recalculate and read β and η.
Where are B10, MTTF, and hazard?
After a fit, open Weibull Calculator. BX% life, mean life, and failure rate h(t) all read the current LifeFit. Mission / fleet expected failures and RDT sample size are separate tabs — they are not hidden on the probability plot.
Does Weibull.Genie only plot PDF and CDF curves?
No. The product is a reliability workbook: censored life data, 2P Weibull / lognormal / exponential, Arrhenius and inverse-power ALT, RDT, fleet risk, and export. F(t) is computed from a fit, not sketched as a distribution overlay.