Learning Weibull Analysis
Abstract
Chris and Fred discuss Weibull Analysis and how it can help you can first take your ‘tentative’ steps to learn more about it.
Key Points
Join Chris and Fred as they discuss Weibull analysis. This is perhaps one of the most talked about forms of analysis reliability engineers talk about. And so for some people who are first starting to do reliability stuff, it can be a little intimidating to not know about this analysis methodology that everyone else seems to use. So where do you start?
Topics include:
- Usually we start by saying ‘find your decision’ … but perhaps this is not the thing you need to do when it comes to trying to learn about what Weibull analysis does. How can you know if your decision can even be helped by Weibull analysis..
- Humans are visual creatures who can see patterns in things. This is really important. Computers aren’t close to what we can do when it comes to finding corners in straight lines and things like that.
- Weibull analysis (at its best) is all about turning things like failure data into visual patterns we can see. Data starts looking like a table of numbers in a spreadsheet or something similar. Weibull analysis turns these numbers into points that can be visualized as curves. And these patterns can tell you things like … what should my servicing interval be? … what percentage of products experience infant mortality? … what is the likely dominant failure mechanism?
- … and it’s not all about software/numbers. Reliability engineering isn’t about force-feeding numbers into Weibull analysis plotting software. If you put numbers in and get numbers out, and don’t know what those numbers mean (or if they are relevant) you will make bad decisions. All the time.
Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.
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Loved the comment about software companies mascarading as training companies.
… met too!