
Collecting and Analyzing Your Field Data
Let's explore where the data comes from and how to prepare for analysis. Plus, let's discuss some ways to look at your data initially.
Description
Weibull probability plotting is perhaps the most widespread data analysis tool used in reliability and quality engineering. Some of you might have used it. Some of you might know that it magically' creates straight lines out of failure data, and the slope and location of that straight line sort of means something. Good reliability engineers know what these straight lines mean, what it means if the lines aren't straight, can do things like look at these lines to optimize maintenance regimes, work out if we quality control issues (or not), and lots of other things. And the good news is if you know how to use Weibull probability plotting you don't need to use complex equations!
This Accendo Reliability webinar was originally broadcast on 22 April 2025.
Let's explore where the data comes from and how to prepare for analysis. Plus, let's discuss some ways to look at your data initially.
For repairable items, the mean cumulative function and associated plots provide you with an estimate of the effectiveness of your repairs.
We will discuss the pros and cons of various sources. Plus, let's examine a few ways to use simulations or models.
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.
The design is done, the assembly process is working, now we can focus on answering the question: is the product hitting reliability targets?