Accendo Reliability Webinar Series

What is a ‘Fault Tree’? podcast episode with speaker Chris Jackson If you have spent any time doing reliability engineering stuff, you will probably have heard of this thing called a ‘fault tree.’ You may have even used fault trees a lot. But it is amazing how many different reliability engineers have different ideas about how to use a fault tree best. Some think fault trees are strictly used to work out which combinations of components need to fail for the system to fail (system reliability modeling). Others think fault trees are really useful for helping us work out what the causes of failure are (root cause analysis). Both people are right. So why do we get these competing schools of thought? Join us for this webinar to learn more about how fault trees can help you … regardless of what you are trying to achieve. This Accendo Reliability webinar was originally broadcast on 27 September 2022. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Related Content Fault Tree Analysis (FTA) course 3 Perspectives for Fault Tree Analysis episode Fault Tree Analysis 8 Step Process article Intro to Fault Tree Analysis article Reliability Techniques For Analyzing And Improving Fault Tolerance article Reliability Apportionment and How to Do It Reliability apportionment is a power tool to enable your team to make decisions while fully considering the reliability impact. See More Fundamentals of RBD Reliability Block Diagrams are a useful and simple tool to encourage reliability discussions and improved decisions. See More Fundamentals of Physics of Failure Let's consider physics of failure (PoF) models, how to use them, plus how to create them, as a central element of your reliability program. See More Fundamentals of Monte Carlo Analysis The Monte Carlo method is a relatively simple process that permits you to create models that include the naturally occurring variability. See More 3 Ways to Do Reliability Allocation Having a reliability target for your product is great. But how does that help all the little design teams? Use subgroup targets. See More Reliability Life Models Failure is a random process. Which means we can't predict with absolute certainty when something will fail. Enter 'reliability life models.' See More What is a ‘Fault Tree’? Join us for this webinar to learn more about how fault trees can help you ... regardless of what you are trying to achieve. See More Why Redundant Systems Aren’t Always Redundant Redundancy has continually proven to not always be redundant. Let's explore a few reasons this occurs. And, how to judge your system. See More Reliability of a K out of N' System There are K out of N' systems that need K' components out of a total of N' components to work for the system to work. See More What are ‘Cut Sets’? See More The post What is a ‘Fault Tree’? appeared first on Accendo Reliability.

Being a Great Reliability Engineer podcast episode with speaker Fred Schenkelberg What is it that makes the difference between good and great related to reliability engineers? What is the magic element that separates those who can carry out tasks such as facilitating an FMEA or designing and analyzing an ALT from those who impact an organization's culture? A good impact that improves the organization's ability to create reliable products. Let's explore the various stages of a career in reliability engineering, from getting started, to being competent, to becoming great. Let's explore the technical and soft skills one must master along the way. If you want to enjoy your work and make a difference in your organization, this webinar may provide a few ideas to help you make that happen. This Accendo Reliability webinar was originally broadcast on 13 September 2022. Download RSS To view the recorded video visit the webinar page. Related Content Hiring Tips for Reliability Engineers episode ERM and Reliability Engineers episode The Worth of a Reliability Engineer episode What Should a Reliability Engineer Do episode Reliability Engineering and Marketing Similarities episode Successful Career in Reliability Engineering This discussion explores the seven key traits talented, professional, networked, positive, valuable, studiousness, and mentoring ability. See More Getting Started with Reliability Engineering Reliability Engineering is a daunting field. The technical breadth of skills spans material science to statistics. See More How to Prepare for the ASQ CRE Exam Let's discuss the exam and certification in general, then how to prepare for the exam and exam day strategy for this timed test. See More Does a Certification Make You a Professional Reliability Engineer? Certifications based on your reliability engineering knowledge does not make you a professional. It is the applies knowledge that does. See More How to Build Your Influence as a Reliability Engineer Build your influence: This webinar explores how we, as reliability professionals, can improve our ability to influence. See More A Review of the 2018 ASQ CRE Body of Knowledge With the changes to topics, it attempts to reflect what reliability engineers do daily. Let's take a close look and discuss what it means. See More Improve Your Reliability Teaching Skills As a reliability professional you will be asked to teach. Let's explore becoming an amazing teacher and improve your effectiveness. See More How is Reliability Engineering Changing? What's coming to reliability engineering in 2020 and beyond? Let's explore a few trends and their implications. See More Why Reliability Engineering Is Important When you examine what we do, it is important to our fellow engineers, our organization, our customers, and society. See More How to Learn Reliability Engineering Let's take a look at a few ways to really learn what you need to know along your journey to become a reliability engineer. See More Reliability Engineering versus Quality Engineering Let's explore similarities and differences along with how to best work together to achieve results and areas of overlap and confrontation. See More Looking Forward with Reliability Engineering Looking Forward with Reliability Engineering is about understanding the decisions that the information we should create will inform. See More Being a Great Reliability Engineer Let's explore the various stages of a career in reliability engineering, from getting started, to being competent, to becoming great. See More The State of Reliability Education Let's explore the range of options available, pros and cons, and a simple strategy to make professional development routine. See More How to Get Unstuck In this presentation, Greg Hutchins will explain how to Get Unstuck: Do Good. Be Happy based on the Working It book. See More Fundamentals of a Professional Development Plan See More The post Being a Great Reliability Engineer appeared first on Accendo Reliability.

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. Download RSS 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 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. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More 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. See More 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. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More 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. See More 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. See More 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. See More 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. See More 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. See More 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. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More 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. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More 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. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More 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. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post What do you see in a ‘Probability’ Plot? appeared first on Accendo Reliability.

Practical Measurement Systems Analysis for Design Work Smarter podcast episode with speaker Rob Schubert Gage R&R – this is mainly a quality tool, where 10% is a pass and 10-30% is “marginal.” What does that mean, or even better yet, how can I use gage R&R to provide meaningful results in a design environment without specifications? In 30 minutes, we will discuss how you can calculate Gage discrimination – the more useful result for a design situation, and even how to use it for destructive reliability tests. This Accendo Reliability webinar was originally broadcast on 9 August 2022. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page.   Related Content Measurement Error episode Fundamentals of Measurement System Analysis episode First Steps with Data article 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. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More 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. See More 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. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More 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. See More 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. See More 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. See More 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. See More 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. See More 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. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More 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. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More 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. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More 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. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post Practical Measurement Systems Analysis for Design Work Smarter appeared first on Accendo Reliability.

Confidence in Reliability podcast episode with speaker Chris Jackson Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. We often subject our new product, system, or service to test after test until it reaches this thing called required statistical confidence.' But this is often an illusion, which is great! Because if statistical confidence is often not real' confidence, then we don't always have to resort to statistics to get confidence. In fact, those of us who exclusively rely on statistics are usually those who lack confidence in the product, system or service and need a security blanket to make them feel OK. This webinar talks about confidence from the perspective of the process owner.' The design team lead. The CTO. The junior engineer. And how you can get a much healthier version of confidence through the way we design and produce our things' so that when it comes time to test we are (justifiably) supremely confident that we will absolutely dominate whatever statistical testing hurdle can be thrown our way. And this sometimes means we don't need to deal with statistics at all! This Accendo Reliability webinar was originally broadcast on 26 July 2022. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page.     Related Content Confidence and Tolerance Intervals episode Confidence from Understanding episode Choosing a Confidence Level for Test using FMEA episode Are You Confident in Your Confidence? episode Does Confidence and Precision Matter in Remote Vibration Monitoring? 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. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More 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. See More 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. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More 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. See More 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. See More 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. See More 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. See More 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. See More 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. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More 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. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More 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. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More 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. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post Confidence in Reliability appeared first on Accendo Reliability.

Reliability and Maintenance podcast episode with speaker Fred Schenkelberg Both reliability and maintenance activities work to reduce failures and downtime. Perfect reliability of a system would eliminate the need for maintenance. Perfect maintenance would keep even poorly designed (reliability-wise) operating. Together, the work of reliability and maintenance professionals can achieve more than each team working separately. Each brings a set of insights and skills to the conversation. Working together means improving the design of a system so it's easier to maintain. It also means the maintenance teams’ day-to-day observations provide meaningful information to the reliability team. Let's explore how these two related fields are bound together in many ways. What works well, and what could work better? This Accendo Reliability webinar was originally broadcast on 12 July 2022. Download RSS To view the recorded video, visit the webinar page. Related Content Living the Essence of Reliability Centered Maintenance (RCM)! article/video Maintenance Planning From Condition Monitoring Reports article Improve Critical Equipment Reliability and Reduce Maintenance Costs article How to Reduce Maintenance Cost The Right Way article Building A Strong Reliability Culture For Your Maintenance Department article Optimizing Servicing Intervals and Witchcraft. There actually is a difference. Ever wondered if your servicing intervals are good'? Do you know what good' is? Let's explore how establish proper intervals. See More Reliability and Maintenance Let's explore how these two related fields are bound together in so many ways. What works well and what could work better. See More What is Supportability' the main thing to think about' is that because supportability is a characteristic of a system it has to be baked INTO the design. See More Framework to Assess Equipment Reliability See More The post Reliability and Maintenance appeared first on Accendo Reliability.

Basic Mathematical Symbols and Stuff podcast episode with speaker Chris Jackson OK we have all been there. We have all sat in some statistical presentation or read a document containing mathematical symbols and statistical hieroglyphics we don't understand. And we pretend we do understand so that we don't embarrass ourselves. The people we don't want to embarrass ourselves in front of usually also pretend to understand those symbols and hieroglyphics. This webinar is a light (re)introduction to common mathematical symbols used in many engineering scenarios including reliability. They can be really simple to understand if you only know how. So if you see all manners of Greek letters or have to talk to someone who always uses the term sigma' and you have no idea what they mean then this webinar is for you. <!–more–> This Accendo Reliability webinar was originally broadcast on 28 June 2022. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Related Content Reliability Management Terminology article Dependability article Future of Quality article Starting with Mathematical Foundations with Fred Schenkelberg 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. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More 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. See More 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. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More 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. See More 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. See More 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. See More 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. See More 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. See More 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. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More 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. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More 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. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More 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. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post Basic Mathematical Symbols and Stuff appeared first on Accendo Reliability.

Risk Decision Making, Frameworks, and Assessments podcast episode with speaker Greg Hutchins Disruption has been one of the major news items in 2022. Disruption results in risk. You can see risk' in almost every video, magazine, and blog. Russia’s invasion of Ukraine. Supply chain disruption. Climate change. New business models. Reshoring. Inflation. Price of gasoline. Can you imagine $10/gallon gasoline? Greg will answer the following: What is risk-based, problem-solving, and decision-making in reliability engineering and quality? What are risk PDCA, taxonomies, risk assessment, risk management, etc? What are the two critical risk management frameworks for problem-solving and decision-making? What are examples of risk assessment tools? This Accendo Reliability webinar was originally broadcast on 14 June 2022. Download RSS To view the event’s recorded video/audio and PDF slide deck, visit the webinar page.     Related Content Remaking Risk-Based Decisions: Allowing Ourselves to Change our Minds. episode Risk, Decision Making & Uncertainty with Devin Luquist episode Data Everywhere and Still Project Indecision article Driving Effective Conversations-Prioritizing and Decision Making at Concept Development and Beyond episode How Conservative and Prudent can a Risk Decision be? Practical uses of Confidence Boundaries article AI Decision Making: Existential' Threat or Salvation Trust' in AI decision-making is one of the most important public policy challenges facing the world. Consider the risk and opportunities. See More Fundamentals of Risk Let's discuss risk management and reliability engineering, plus introduce a risk management framework based on ISO 31000. See More Reliability Engineering and Risk Analysis Let's talk about risk, risk management, and our role as reliability engineers in identifying and mitigating risks. See More Risk-Based Auditing Risk-based auditing is a must-have tool for all quality and reliability professionals. ALL ISO management systems require RBA. See More Risk Decision Making, Frameworks, and Assessments Let's discuss risk-based problem solving and decision-making along with an intro to risk management frameworks and assessments. See More Risk 101: Future of Quality We've evangelized for more than 20 years that the future of quality and its related disciplines, including reliability, will be risk-focused. See More Understanding Context Understanding context is important for making smart risk-based decisions and solving tough problems in today's world. See More AI Product Development and Deployment See More The post Risk Decision Making, Frameworks, and Assessments appeared first on Accendo Reliability.

How to Take the Guess Work out of Expert Judgment podcast episode with speaker Chris Jackson Most humans can be quite technically minded. And sometimes we aren't. Sometimes, we expect every drug or medical procedure to be checked, approved, validated, and tested on other people (et cetera) before subjecting ourselves to whatever our doctor suggests. At other times, we spend lots of money at casinos (note that I said spend' and not invest' or win'). When it comes to reliability, we can sometimes be too technically minded. A reliability number' might not exist until our product has undergone exhaustive testing. Which can often be two years too late to do anything about if it turns out it doesn't meet all our reliability dreams. So what can we do? Well why spend money trying to generate information (through lengthy tests) when you can use the information stored in everyone's brain? The most common answer (even if we don't want to admit it) is that this sounds like guesswork. And guesswork can sound unprofessional. Or it’s just wrong. But there are ways you can suck out information from a group of experts in a quantifiable and remarkably accurate way. Want to learn more? This webinar introduces you to some of the concepts that might interest you. This Accendo Reliability webinar was originally broadcast on 24 May 2022. Download RSS To view the event’s recorded video/audio and PDF workbook, visit the webinar page.     Related Content What is Your Approach episode What Could Go Wrong episode Strength-Stress with Limited Information episode Incomplete Data episode Is Testing The Only Way to Confirm Reliability 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. See More 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. See More Reliability Data We will discuss the pros and cons of various sources. Plus, let's examine a few ways to use simulations or models. See More 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. See More 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? See More 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? See More Overview of Life Testing in Minitab Minitab itself has many reliability functions available; this presentation covers the basics, including distributions, censoring, and fitting. See More 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. See More 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. See More 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. See More 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.' See More 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. See More 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. See More 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. See More 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. See More 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. See More 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. See More What is Weibull Probability Plotting? See More The post How to Take the Guess Work out of Expert Judgment appeared first on Accendo Reliability.

How to Check a Regression Fit podcast episode with speaker Fred Schenkelberg When fitting a line or curve to data, it's a model. When modeling, it is worth remembering the George Box quote, Essentially all models are wrong, but some are useful. Yet, how do we separate a useful model from one that isn't useful? One step in finding a helpful regression model is to consider the residuals. BTW: Weibull analysis is another term for regression analysis. Residuals in regression analysis are the differences between the data and the model-predicted values. When the regression fits' the data, the residuals should represent the naturally occurring experimental (measurement) errors. These should be well-behaved differences that tend to fit a normal distribution centered on zero. Let's explore what residuals are, where they come from, and how to evaluate them to detect whether the fitted line (model) is adequate. Not checking or using a poor model is a recipe for major errors when making decisions. Checking residuals is one step to validating a model, yet it's quick and easy to accomplish. This Accendo Reliability webinar was originally broadcast on 10 May 2022. Download RSS To view the recorded video, visit the webinar page. Related Content Regression Metrics episode How do I Control a Process That Trends Naturally Due to Tool Wear? article Are You a Keyboard Jockey? article Reliability Engineering Statistics course Starting with Mathematical Foundations with Fred Schenkelberg 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. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More 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. See More 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. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More 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. See More 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. See More 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. See More 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. See More 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. See More 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. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More 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. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More 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. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More 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. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post How to Check a Regression Fit appeared first on Accendo Reliability.