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3 Parameter Weibull Analysis

4M ago

Del

MP3•Episode hjem

Indhold leveret af Accendo Reliability and Fred Schenkelberg. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Accendo Reliability and Fred Schenkelberg eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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

Sketch of Claveaux XIIIe et XIVe siecles

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.

Sketch of Claveaux XIIIe XIVe siecle

R Software and Reliability

Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control.

Sketch of Clavette medievale

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.

What is the ‘3 Parameter’ Weibull Analysis

The post 3 Parameter Weibull Analysis appeared first on Accendo Reliability.

… continue reading

189 episoder

#Engineering #Accendo Reliability #Fred Schenkelberg #Business #Industries #Careers #Chris Jackson #Tech #MBA

Artwork

3 Parameter Weibull Analysis

Accendo Reliability Webinar Series

23 subscribers

published 4M ago

Del

MP3•Episode hjem

Indhold leveret af Accendo Reliability and Fred Schenkelberg. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Accendo Reliability and Fred Schenkelberg eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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

Sketch of Claveaux XIIIe et XIVe siecles

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.

Sketch of Claveaux XIIIe XIVe siecle

R Software and Reliability

Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control.

Sketch of Clavette medievale

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.

What is the ‘3 Parameter’ Weibull Analysis

The post 3 Parameter Weibull Analysis appeared first on Accendo Reliability.

… continue reading

189 episoder

#Engineering #Accendo Reliability #Fred Schenkelberg #Business #Industries #Careers #Chris Jackson #Tech #MBA

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