Fundamentals of Weibull Analysis
podcast episode
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 its limitations.
Weibull analysis is very popular and has become a generic term for life data analysis. It is useful, has some nice features, and is easy to interpret. Yet, it has a dark side as well. Let’s talk about the basic use of the distribution, when not to use it, and how to know when better tools are available.
A great first step when faced with a pile of data is to plot it. 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 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.
This Accendo Reliability webinar originally broadcast on 10 April 2018.
- Social:
- Link:
- Embed:
To view the recorded video and event slides, visit the webinar page.
Related Content
Weibull Analysis and Physics Trumps Mathematics episode
A Discussion on Weibull Analysis with Fred Schenkelberg episode
What is Weibull Distribution? episode
Questions to Ask about Data Analysis episode
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.
Time to Failure Data Analysis for Your Factory Equipment
For repairable items, the mean cumulative function and associated plots provide you with an estimate of the effectiveness of your repairs.
Reliability Data
We will discuss the pros and cons of various sources. Plus, let’s examine a few ways to use simulations or models.
Fundamentals of Weibull Analysis
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.
Fundamentals of Field Data Analysis
The design is done, the assembly process is working, now we can focus on answering the question: is the product hitting reliability targets?
Weibull Probability Plotting
Data is only as useful as the information you derive. So would you like to take your Weibull probability plotting skills to the next level?
Overview of Life Testing in Minitab
Minitab itself has many reliability functions available; this presentation covers the basics, including distributions, censoring, and fitting.
The Survivorship Bias Principal
This webinar examines an important perspective. Its’ so simple and has made many heroes in the data analysis world since Abraham Ward.
So what is up with this ‘Bayesian’ analysis stuff
Some of you may have heard of ‘Bayesian analysis.’ You may think this is something fancy that only universities do.
Reliability Analysis … now what? Part 2
Let's take a closer look at the concept of likelihood and it's role in an MCMC analysis. A powerful tool for data analysis.
Reliability Analysis … now what? Part 3
This webinar is about how we use this thing called Markov Chain Monte Carlo Simulation (MCMC) to create this ‘posse.’
Reliability Analysis … now what? Part 4
We show you how to get your computer to help you give useful reliability information to your boss, manager, director, or whoever.
Fundamentals of Interpreting Test Results
To create test results that are meaningful, we need to both design and execute the test well, then, interpret the results accurately.
How to Take the Guess Work out of Expert Judgment
there are ways you can suck out information from a group of experts in a quantifiable and remarkably accurate way.
What do you see in a ‘Probability’ Plot?
A Weibull plot is a really useful way of quickly ‘looking’ at data and being able to ‘see’ really useful things.
What is WeiBayes Analysis?
WeiBayes is useful, and there are quite a few catches. Interested in learning about Weibayes analysis? Join us for this webinar.
Using Monte Carlo Simulation
Sometimes the equations we need to model reliability are just so complicated that we simply avoid them. Let's use Monte Carlo instead.
Leave a Reply