Artwork

Contenido proporcionado por Accendo Reliability and Fred Schenkelberg. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Accendo Reliability and Fred Schenkelberg o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

What is WeiBayes Analysis?

 
Compartir
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on May 28, 2024 22:12 (18d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 397147396 series 2359252
Contenido proporcionado por Accendo Reliability and Fred Schenkelberg. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Accendo Reliability and Fred Schenkelberg o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

What is WeiBayes Analysis?

podcast episode with speaker Chris Jackson

Some of us might have heard of the Weibull distribution. Some of us might have heard about Weibull analysis. Weibull analysis uses the Weibull distribution to help us visualize failure data in a really useful way. We can see' if our product is wearing out. We can see if our product is wearing in. We can estimate how many things will have failed by certain times. We can do all manners of other wonderful reliability engineering' things through Weibull Analysis. But then there is WeiBayes Analysis.' It combines Weibull and Bayesian analysis ( I know that doesn't mean much to most people). It can be really useful if we know how' something we are testing fails. Because if we do, then we can essentially feed a certain parameter into the analysis to help it on its way. This means that we don't need as much data (always a good thing in reliability engineering). But there are quite a few catches. Interested in learning about Weibayes analysis? Join us for this webinar.

This Accendo Reliability webinar was originally broadcast on 23 January 2024.


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

Additional content that may be of interest

Rational Assumptions episode
Bayesian Statistics and Sample Sizes episode
What is Weibull Distribution? episode
Fundamentals of Weibull Analysis episode
Weibull Analysis and Physics Trumps Mathematics 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?

hand drawing of the arc boutant glise of Sait Wulfrand Abbeville

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.

Drawing of Sommiers arcs ogives differentes hauteurs

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.

The post What is WeiBayes Analysis? appeared first on Accendo Reliability.

  continue reading

105 episodios

Artwork
iconCompartir
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on May 28, 2024 22:12 (18d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 397147396 series 2359252
Contenido proporcionado por Accendo Reliability and Fred Schenkelberg. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Accendo Reliability and Fred Schenkelberg o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

What is WeiBayes Analysis?

podcast episode with speaker Chris Jackson

Some of us might have heard of the Weibull distribution. Some of us might have heard about Weibull analysis. Weibull analysis uses the Weibull distribution to help us visualize failure data in a really useful way. We can see' if our product is wearing out. We can see if our product is wearing in. We can estimate how many things will have failed by certain times. We can do all manners of other wonderful reliability engineering' things through Weibull Analysis. But then there is WeiBayes Analysis.' It combines Weibull and Bayesian analysis ( I know that doesn't mean much to most people). It can be really useful if we know how' something we are testing fails. Because if we do, then we can essentially feed a certain parameter into the analysis to help it on its way. This means that we don't need as much data (always a good thing in reliability engineering). But there are quite a few catches. Interested in learning about Weibayes analysis? Join us for this webinar.

This Accendo Reliability webinar was originally broadcast on 23 January 2024.


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

Additional content that may be of interest

Rational Assumptions episode
Bayesian Statistics and Sample Sizes episode
What is Weibull Distribution? episode
Fundamentals of Weibull Analysis episode
Weibull Analysis and Physics Trumps Mathematics 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?

hand drawing of the arc boutant glise of Sait Wulfrand Abbeville

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.

Drawing of Sommiers arcs ogives differentes hauteurs

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.

The post What is WeiBayes Analysis? appeared first on Accendo Reliability.

  continue reading

105 episodios

Minden epizód

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida