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תוכן מסופק על ידי Accendo Reliability and Fred Schenkelberg. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Accendo Reliability and Fred Schenkelberg או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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What do you see in a 'Probability' Plot?

 
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Manage episode 338927212 series 2359252
תוכן מסופק על ידי Accendo Reliability and Fred Schenkelberg. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Accendo Reliability and Fred Schenkelberg או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

What do you see in a ‘Probability’ Plot?

podcast episode with speaker Chris Jackson

Some of you might have heard about probability plots like Weibull plots. Some of you might not. A Weibull plot is a really useful way of quickly looking' at data and being able to see' really useful things. This could be seeing that a system’s failure rate is decreasing over time which usually means there are manufacturing defects. It could be seeing that the rate of failure of a system is increasing over time which means the system is accumulating damage or wearing out. And lots of other things. So, let's look at a different sort of probability' plot and see what we can work out from it. And that means working out what we need to do to improve reliability. Join this webinar if you want to learn how to see really useful things in lines that you might not have appreciated in the past.

This Accendo Reliability webinar was originally broadcast on 23 August 2022.


To view the recorded video/audio and PDF workbook of the event, visit the webinar page.

Related Content

Lognormal Probability Plots article
Introduction to Normal Probability Plots article
A Primer on Probability Plots article
Always Plot the Data episode
A Primer on Probability Distributions article

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.

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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.

The post What do you see in a ‘Probability’ Plot? appeared first on Accendo Reliability.

  continue reading

105 פרקים

Artwork
iconשתפו
 
Manage episode 338927212 series 2359252
תוכן מסופק על ידי Accendo Reliability and Fred Schenkelberg. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Accendo Reliability and Fred Schenkelberg או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

What do you see in a ‘Probability’ Plot?

podcast episode with speaker Chris Jackson

Some of you might have heard about probability plots like Weibull plots. Some of you might not. A Weibull plot is a really useful way of quickly looking' at data and being able to see' really useful things. This could be seeing that a system’s failure rate is decreasing over time which usually means there are manufacturing defects. It could be seeing that the rate of failure of a system is increasing over time which means the system is accumulating damage or wearing out. And lots of other things. So, let's look at a different sort of probability' plot and see what we can work out from it. And that means working out what we need to do to improve reliability. Join this webinar if you want to learn how to see really useful things in lines that you might not have appreciated in the past.

This Accendo Reliability webinar was originally broadcast on 23 August 2022.


To view the recorded video/audio and PDF workbook of the event, visit the webinar page.

Related Content

Lognormal Probability Plots article
Introduction to Normal Probability Plots article
A Primer on Probability Plots article
Always Plot the Data episode
A Primer on Probability Distributions article

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.

The post What do you see in a ‘Probability’ Plot? appeared first on Accendo Reliability.

  continue reading

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