Accendo Reliability Webinar Series

Using Fault Trees to Conduct Root Cause Analysis (RCA) podcast episode with speaker Chris Jackson What is a root cause' of failure? It is something that you did (or didn't) do that ultimately resulted in failure. It's not corrosion (that's a physical process that follows the laws of nature that you can't change). It's not a porous seal that allows moisture to enter your product to cause corrosion (that's a defect or fault that you or your team made happen). Root Cause Analysis (RCA) is the process where we systematically work out what things we did or didn't do that allowed failure to occur, and Fault Trees are often very helpful in finding this root causes. If you want to learn more about RCA or how fault trees can help RCA, join us for this webinar. This Accendo Reliability webinar was originally broadcast on 27 August 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest Fault Tree Analysis (FTA) course What is a Fault Tree'? episode 3 Perspectives for Fault Tree Analysis episode Intro to Fault Tree Analysis article FTA vs RBD episode Fundamentals of FRACAS This webinar introduces you to the basic elements of FRACAS. Plus, we examine a few failed programs so that you can avoid problems. See More Fundamentals of Root Cause Analysis Let's discuss when you have sufficient understanding of a failure mechanism to implement a solution and a few common obstacles to avoid. See More Essential Reliability Engineering Concepts Let's discuss the concept of failures along with a few other concepts universal to reliability engineering. See More Preventing Moisture and Corrosion Damage The goal is to educate the audience on options to prevent electronic equipment failure used in enclosed spaces from corrosion. See More What is Fatigue? Fatigue is interesting in that it allows something to fail without it ever being exposed to stresses that are beyond its strength. See More So What is the Root Cause? This webinar takes you through a framework to explore the understand the root cause of a failure, something we can do something about. See More Focus on Failure Mechanisms Let's explore the many ways something can fail and how understanding failure mechanisms makes a difference. See More Using Fault Trees to Conduct Root Cause Analysis (RCA) Discover the power of root cause analysis with fault trees. Uncover the hidden causes of failure and improve your reliability process. See More Fundamentals of Early Field Results Let's explore the concept of a delta phase and how to implement it in your organization. Plus, how to implement it in various product types. See More The post Using Fault Trees to Conduct Root Cause Analysis (RCA) appeared first on Accendo Reliability.

Fred Schenkelberg, a renowned speaker at Accendo Reliability, sheds light on professional development for reliability engineers. He underscores that learning isn't solely about credentials but about practical application. The discussion delves into setting objectives, the importance of feedback, and deliberate practice for skill enhancement. Schenkelberg shares insights on identifying knowledge gaps and using resources effectively, all while emphasizing the need for continuous, meaningful learning throughout one’s career.

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. Download RSS 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. 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 3 Parameter Weibull Analysis appeared first on Accendo Reliability.

Fundamentals of Pareto Analysis podcast episode with speaker Fred Schenkelberg Pareto Analysis is a simple yet powerful tool that provides a visual way to help focus on the most critical tasks. The idea that 80% of your field failures come from 20% of the failure mechanisms is one way we can focus on the vital few instead of the insignificant many. Let's explore the basics of conducting Pareto Analysis, plus a few different ways to create and modify the plots. Of course, we'll talk about some potential problems and pitfalls to avoid. Bring your questions and success/failure stories using this tool. There should be plenty of time for a discussion. This Accendo Reliability webinar was originally broadcast on 9 July 2024. Download RSS To view the recorded video, visit the webinar page. Related content: QDD 095 After the Storm: Pareto Voting and Screening Methods episode SOR 680 Pareto was Right episode QDD 015 Using the Pareto Principle and Avoiding Common Pitfalls episode Building and Using Pareto Charts article SOR 378 Why Pareto Analysis is Not Sufficient episode 7+ Basic Quality Tools Having both awareness and mastery of these tools will enable you to quickly use basic tools to get a handle on the situation. See More Reliability and Quality Let's talk about how quality and reliability overlap and rely on each other's set of capabilities, plus where we differ. See More Fundamentals of Pareto Analysis Let's explore the basics of conducting Pareto Analysis, plus a few different ways to create and modify the plots. See More The post Fundamentals of Pareto Analysis appeared first on Accendo Reliability.

Understanding (how bad) the Exponential Distribution (is) podcast episode with speaker Chris Jackson We often use probability distributions to help us characterize the likely values a random variable will have. This includes the random variable we call time to failure' or TTF, which is how long something works before it fails. Failure is a random process, but just because it is random, doesn't mean it's unpredictable. Products that wear-in will have vastly different probability distributions for TTF when compare do products that wear-out. So you need to have a good idea of the probability distribution of the TTF of your product when it comes to reliability engineering. But we often see in textbooks and standards the exponential distribution' simply being assumed as a good' TTF probability distribution. But is it? And what happens when it isn't but you use it anyway? Join this webinar to find out! This Accendo Reliability webinar was originally broadcast on 25 June 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest The 1 Parameter Exponential Distribution 7 Formulas article The Exponential Distribution article SOR 969 Common Reliability Mistakes episode SOR 949 Forecasting Returns episode SOR 880 Bathtub Curve Flaws 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 Understanding (how bad) the Exponential Distribution (is) appeared first on Accendo Reliability.

Fundamentals of Hypothesis Testing podcast episode with speaker Fred Schenkelberg Let's make a comparison. Let's check our product's key characteristics against specifications, compare vendor life data, or compare the newest design changes to prior performance. We can and should do comparisons well using the appropriate statistical approach. Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. Plus how to best use these tools and when to set them aside and explore another approach. Statistics is a part of what a reliability professional does; thus, we all should know the range, power, and applicability of the methods available. Let's explore how to make comparisons well. This Accendo Reliability webinar was originally broadcast on 11 June 2024. Download RSS To view the recorded video, visit the webinar page. Related content: Sample Size for Hypothesis Testing of μ article Single Sample Z-test Hypothesis Testing for Mean with Known Variance article Hypothesis Testing article Hypothesis Test Selection article Hypothesis Test Selection Flowchart article   SPC Sample Size Impact on SPC In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). See More Reliability and Statistical Process Control Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance. See More Understanding and Controlling Process Variation Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. See More 10 Keys for Maximizing the Benefits of Your SPC Program Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes. See More How do I link Process Capability Indices to Number (PPM) Defects? if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar. See More What is Statistical Process Control or SPC? You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them. See More What is Process Capability Analysis (PCA)? A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like. See More Fundamentals of Control Charts Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. See More Fundamentals of Process Capability Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information. See More The post Fundamentals of Hypothesis Testing appeared first on Accendo Reliability.

Using FMEA (or Functional) Block Diagrams to Understand Your Item podcast episode with speaker Chris Jackson Many engineers rush to design or build something that we think is awesome' or at least proves a concept.' But this often means we build something that we like (not necessarily what our users like) or doesn't work (because we didn't realize that have sensitive electronic components near hot exhaust manifolds would be a problem). This is where taking a breath and understanding our product before we build the wrong thing fast can really helpful. A FMEA or functional block diagram can really help us visualize what different parts of our system do, and how they interact. They also help us identify the basic, interface and additional functions that separate an average' product from an industry leading' product. If this is something you think you or your team can benefit from, join us for this webinar. This Accendo Reliability webinar was originally broadcast on 28 May 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest SOR 960 Differing FMEA Approaches episode Use FMEA to Choose Critical Design Features episode Relationship between FMEA and Risk Management article Hazard Analysis and FMEA article What are Functions with Nancy Regan episode Fundamentals of FMEA Just the fundamentals of FMEA in this fast paced event. FMEA has value, the 10 steps, and a few examples of how it can go all wrong. See More 10 Reasons to do FMEAs Exploring ten reasons to do FMEAs, yet actually, reasons to do amazing FMEAs that provide value in a range of ways. See More Supportability (and FMEAs/FMECAs) What is supportability?' Easy! It's the ability of your product, system or service to be supported. But how do we get this so wrong so often? See More What is the difference between Design and Process FMEAs? Get an overview of which FMEAs do what and when you would use one instead of the other? Including Design, Process, and others. See More Using FMEA Block Diagrams This is where taking a breath and understanding our product before we build the wrong thing fast can really helpful. See More What’s the Difference Between FMEA and FMECA? Understand the difference (if any) between FMEAs and FMECAs? and How can you make an FMECA work for you? See More The post Using FMEA (or Functional) Block Diagrams to Understand Your Item appeared first on Accendo Reliability.

Fundamentals of Process Capability podcast episode with speaker Fred Schenkelberg Calculating and interpreting the process capability ratios is the easy part. Getting valid results takes more work and thinking. Knowing that the process is capable is only one use of this information. We should also use the information contained in these ratios to inform product design tolerance. Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine a few ways to use this information to effectively improve our processes and designs. This Accendo Reliability webinar was originally broadcast on 14 May 2024. Download RSS To view the recorded video, visit the webinar page. Related content: Design Specs vs. Process Control, Capability, and SPC episode How do I link Process Capability Indices to Number (PPM) Defects? episode/webinar What is the Relationship between Process Stability and Process Capability? article Process Capability Analysis course course Process Capability article SPC Sample Size Impact on SPC In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). See More Reliability and Statistical Process Control Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance. See More Understanding and Controlling Process Variation Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. See More 10 Keys for Maximizing the Benefits of Your SPC Program Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes. See More How do I link Process Capability Indices to Number (PPM) Defects? if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar. See More What is Statistical Process Control or SPC? You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them. See More What is Process Capability Analysis (PCA)? A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like. See More Fundamentals of Control Charts Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. See More Fundamentals of Process Capability Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information. See More The post Fundamentals of Process Capability appeared first on Accendo Reliability.

Using Monte Carlo Simulation to Make Hard Reliability Analyses Easy podcast episode with speaker Chris Jackson Sometimes the equations we need to model reliability are just so complicated that we simply avoid them, or use other equations that are simpler but model the wrong thing (see some of my earlier webinars!). But it doesn't have to be this way. Monte Carlo simulation is so simple that anyone who has access to Microsoft Excel can use it. What this means is that we don't need to use complicated equations (like those use to model things like switching systems) and instead can use Microsoft Excel to help us get approximate (but really accurate) answers. Sound interesting? Join us for this webinar! This Accendo Reliability webinar was originally broadcast on 23 April 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest When to do Monte Carlo episode Use of Monte Carlo Simulation in Reliability episode What is a Monte Carlo Analysis with Fred Schenkelberg episode Reliability Modeling using Monte Carlo article 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 Using Monte Carlo Simulation appeared first on Accendo Reliability.

Fundamentals of Control Charts podcast episode with speaker Fred Schenkelberg On one of my first vendor visits, they proudly showed us the control charts behind glass near the conference room. They were nicely printed, all in perfect control, and rather odd. A control chart belongs on the production line, where the operators make the measurements. They are of little value when automatically collected and printed out once a month for display-only purposes. Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. It permits the team to identify opportunities for process improvement and provides the necessary evidence that a process is in control, if it actually is, as a prerequisite for calculating process capability. Let's discuss control charts and how best to employ them. We will also examine how valuable an SPC program can be for the organization and customers. This Accendo Reliability webinar was originally broadcast on 9 April 2024. Download RSS To view the recorded video, visit the webinar page. Related content: SPC Process Control course Pre-Control Charts article Statistical Process Control Overview article Introduction to Control Charts article SPC Sample Size Impact on SPC In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). See More Reliability and Statistical Process Control Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance. See More Understanding and Controlling Process Variation Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. See More 10 Keys for Maximizing the Benefits of Your SPC Program Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes. See More How do I link Process Capability Indices to Number (PPM) Defects? if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar. See More What is Statistical Process Control or SPC? You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them. See More What is Process Capability Analysis (PCA)? A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like. See More Fundamentals of Control Charts Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. See More Fundamentals of Process Capability Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information. See More The post Fundamentals of Control Charts appeared first on Accendo Reliability.