Weibull Probability Plotting
How to learn more by just looking!
Speaker: Chris Jackson
If you are a reliability engineer – chances are you have done a Weibull plot. You take something like failure data, put it into a piece of software, and presto!
You get a straight line with other numbers and stuff that makes your organization smarter! But if you know a couple of things (or tricks of the trade) you can simply look at this so-called straight line and learn a lot more than some numbers will ever teach you.
Data is only as useful as the information you get from it. So would you like to take your reliability engineering or probability plotting skills to the next level? Then check out this webinar!
This Accendo Reliability webinar originally broadcast on 24 March 2020.
The audio track is now an Accendo Reliability Webinar Series podcast episode. View the episode show notes to listen or subscribe to podcast
Please login with your site registration to view the video recording.
If you haven’t registered, it’s free and takes only a moment.
Thank you Chris, this webinar was very helpful on understanding the principles related to weibull analysis! I’ve been used some statistical softwares for so long, and I’ve never paid proper attention in some important details as I could notice now just by watching you doing the step-by-step in the plotting papers.
Thanks Rafael! Much appreciated. Please keep letting me know of things we can improve, and cover in the future.
Best explanation of Weibull I’ve ever heard. Thanks for sharing!
Don … thanks for the feedback! Please let me know if you want anything else covered in this series.
Beautifully narrated with a logical approach & well explained.. Thanks!
Thanks Jeya! Much appreciated!
I’ve got a question: “63.2% of all values of the plot fall below the charecterisitic life regardless of the shape parameter” – Can you please explain the logic behind this statement and how 63.2% emerged? Thank you.
Hi Jeya! Good question. There is no ‘logic’ behind this per se. But if we just look at the cumulative distribution function (CDF) of the Weibull distribution …
$$F(t) = 1 – e^{\left(- \frac{t}{\eta} \right) ^{\beta}}$$
… you can see that if t is equal to the characteristic life then
$$F(\eta) = 1 – e^{-\left( \frac{\eta}{\eta} \right) ^{\beta}} = 1 – e^{-1^{\beta}} = 1 – e^{-1} = 0.63212…$$
Hope this helps!
Ahhh.. got it.. thanks