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3 Parameter Weibull Analysis
Manage episode 430637465 series 2359252
What is the ‘3 Parameter’ Weibull Analysis
podcast episode with speaker Chris Jackson
Some of you might have heard of the Weibull distribution. It is an uncannily accurate way of describing many of the ways components fail. It can model things that wear-in where failure is caused by pre-existing damage and defects in a fraction of products. The Weibull distribution can also model things that wear-out we failure is caused once enough damage has accumulated. And some of you might have heard of the 3 Parameter Weibull distribution.' But what makes this different and (sometimes) helpful? We are always wanting to improve the way we model things, including failure processes. So, to see if the 3 Parameter Weibull Distribution' can help you join this webinar!
This Accendo Reliability webinar was originally broadcast on 23 July 2024.
To view the recorded video/audio and PDF workbook of the event, visit the webinar page.
Additional content that may be of interest
Weibull Distribution Part-1 video
Weibull Distribution Part2: Three-Parameter Weibull, B10 life, Characteristic Life video
SOR 958 Learning Weibull Analysis episode
What is the Weibull Distribution? episode
RiM 08: What is Weibull Distribution? episode
Making Use of Reliability Statistics
Let's find the motivation to use reliability statistics and find the resources to learn the statistical tools necessary to succeed.
R Software and Reliability
Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control.
Reliability Distributions and Their Use
Let's explore an array of distributions and the problems they can help solve in our day-to-day relaibility engineering work.
Practical Application of DOE
Perry discusses the basics of DOE (design of experiments) and fundamentals so you can get started with they useful product development tool.
Fundamentals of Sample Size Determination
Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making.
Fundamentals of Measurement System Analysis
When we make a measurement, we inform a decision. It's important to have data that is true to the actual value.
Creating Effective Reliability Graphics
One of the first things I learned about data analysis was to create a plot, another, and another. Let the data show you what needs attention.
PDFs, CDFs, and other ‘Fs’ What the hell are they?
If you want a really easy introduction or review of these functions that help inform a decision then check out this webinar.
Discrete Distributions
Sometimes we have to work out how many of them we need (if they make up a fleet) or how many spare parts we need to keep them running.
Why We Use Statistics
Let's explore the ways we use, or should use, statistics as engineers. From gathering data to presenting, from analyzing to comparing.
How to Check a Regression Fit
Let's explore what residuals are, where they come from, and how to evaluate them to detect if the fitted line (model) is adequate or not.
Basic Mathematical Symbols and Stuff
This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability.
Confidence in Reliability
Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this.
Practical Measurement Systems Analysis for Design
How to calculate Gage discrimination - the more useful result for a design situation, and even how to use it for destructive tests.
What is the Weibull Distribution?
For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information
Where does the Bell Curve come from?
It is not just a pretty shape' that seems to work, It comes from a really cool physical phenomena that we find everywhere.
Fundamentals of Hypothesis Testing
Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests.
Understanding (how bad) the Exponential Distribution (is)
You need to have a good idea of the probability distribution of the TTF of your product when it comes to reliability engineering.
The post 3 Parameter Weibull Analysis appeared first on Accendo Reliability.
189 episoade
Manage episode 430637465 series 2359252
What is the ‘3 Parameter’ Weibull Analysis
podcast episode with speaker Chris Jackson
Some of you might have heard of the Weibull distribution. It is an uncannily accurate way of describing many of the ways components fail. It can model things that wear-in where failure is caused by pre-existing damage and defects in a fraction of products. The Weibull distribution can also model things that wear-out we failure is caused once enough damage has accumulated. And some of you might have heard of the 3 Parameter Weibull distribution.' But what makes this different and (sometimes) helpful? We are always wanting to improve the way we model things, including failure processes. So, to see if the 3 Parameter Weibull Distribution' can help you join this webinar!
This Accendo Reliability webinar was originally broadcast on 23 July 2024.
To view the recorded video/audio and PDF workbook of the event, visit the webinar page.
Additional content that may be of interest
Weibull Distribution Part-1 video
Weibull Distribution Part2: Three-Parameter Weibull, B10 life, Characteristic Life video
SOR 958 Learning Weibull Analysis episode
What is the Weibull Distribution? episode
RiM 08: What is Weibull Distribution? episode
Making Use of Reliability Statistics
Let's find the motivation to use reliability statistics and find the resources to learn the statistical tools necessary to succeed.
R Software and Reliability
Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control.
Reliability Distributions and Their Use
Let's explore an array of distributions and the problems they can help solve in our day-to-day relaibility engineering work.
Practical Application of DOE
Perry discusses the basics of DOE (design of experiments) and fundamentals so you can get started with they useful product development tool.
Fundamentals of Sample Size Determination
Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making.
Fundamentals of Measurement System Analysis
When we make a measurement, we inform a decision. It's important to have data that is true to the actual value.
Creating Effective Reliability Graphics
One of the first things I learned about data analysis was to create a plot, another, and another. Let the data show you what needs attention.
PDFs, CDFs, and other ‘Fs’ What the hell are they?
If you want a really easy introduction or review of these functions that help inform a decision then check out this webinar.
Discrete Distributions
Sometimes we have to work out how many of them we need (if they make up a fleet) or how many spare parts we need to keep them running.
Why We Use Statistics
Let's explore the ways we use, or should use, statistics as engineers. From gathering data to presenting, from analyzing to comparing.
How to Check a Regression Fit
Let's explore what residuals are, where they come from, and how to evaluate them to detect if the fitted line (model) is adequate or not.
Basic Mathematical Symbols and Stuff
This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability.
Confidence in Reliability
Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this.
Practical Measurement Systems Analysis for Design
How to calculate Gage discrimination - the more useful result for a design situation, and even how to use it for destructive tests.
What is the Weibull Distribution?
For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information
Where does the Bell Curve come from?
It is not just a pretty shape' that seems to work, It comes from a really cool physical phenomena that we find everywhere.
Fundamentals of Hypothesis Testing
Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests.
Understanding (how bad) the Exponential Distribution (is)
You need to have a good idea of the probability distribution of the TTF of your product when it comes to reliability engineering.
The post 3 Parameter Weibull Analysis appeared first on Accendo Reliability.
189 episoade
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