By Fred Schenkelberg
The Weibull distribution is a versatile tool to analyze time to failure data. Like any tool it could be wielded well or not so well. In this short webinar let’s discuss when and why you would use Weibull analysis, the basic process, and limitations.
Weibull analysis is very popular and has become a generic term for life data analysis. It is useful, has some nice features, easy to interpret. Yet, it has a dark side as well. Let’s talk about the basic use of the distribution, and when not to use it, and how to know when there are better tools available.
A great first step when faced with a pile of data is to plot it. Get a look at the data and get a sense of what story the data may have to tell. Another early step in any data analysis is to detail what question you are trying to answer. Are you looking for problems that you then can solve? Are you trying to understand the reliability performance of your product? Or something else?
Let’s discuss the fundamentals of Weibull analysis including the basic approach, when and why you would do such an analysis, and some of the problems that may arise. The idea is to help you understand this tool well enough to wield it confidently as you identify and solve reliability questions.