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Accendo Reliability Webinar Series

Reliability Engineering Basics, Statistics, Accelerated Testing, Program Assessment and Improvement. Listen in on in depth discussions held during the live monthly Accendo Reliability webinar series. We explore topics ranging from reliability engineering basics, statistics, accelerated life testing, program assessment and improvement. Catch up or review past events below.

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Cluster Analysis and Applications

This webinar provides an accessible introduction to the principles and methods of cluster analysis and presents applications

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RPN vs. Action Priority

Compare RPN vs. Action Priority in our insightful webinar. Learn which risk assessment method best fits your organization.

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AI and Reliability Engineering

AI and Reliability Engineering podcast episode with speaker Enrico Belmonte Artificial Intelligence is rapidly transforming engineering workflows, but its true impact may not be where many people expect. AI is increasing engineers’ learning speed, analytical capability, and productivity. Reliability engineering has traditionally required years of experience, deep statistical understanding, and…

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All Your Failures Could Be Caused by Maintenance

From a statistical perspective, this is a clear ‘fingerprint’ of failures that are entirely dependent on maintenance.

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Reliability Engineering and Listening

Let’s examine the different ways one can listen, when it’s useful, and how to become a much better listener.

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Capacitors and Failures

In this podcast let’s explore common types of capacitors, MLCC and Electrolytic, their basic construction, and how they may fail.

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Reliability Management and Leadership

Let’s talk about the differences and how you can play an effective role as both a manager and a leader focused on improving reliability.

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Using AI to Detect and Assess Imminent Failure

The basics of decision tree modelling and consider a simple demonstration of its application to assess imminent failure in automobiles.

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How to Model Switching Systems Perfectly

This webinar shows you how to model switching (and other complex) systems using Monte Carlo Simulation in Excel with a perfect model.

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Fundamentals of Supplier Reliability

Let’s explore how to work with suppliers to ensure the supplied items will meet or exceed your reliability expectations.

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10 Reasons to do FMEAS with AI

This webinar gives you 10 reasons why you should do FMEAs and FMECAs properly – and use AI to accelerate the process to amazing results.

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Fundamentals of Product Warranty

Let’s explore what warranties are and are not, plus why they even exist. How are the terms of a warranty set, and by whom?

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Fundamentals of Reliability Maturity

Let’s explore how a group’s culture affects its ability to create a reliable product or system. It’s part how we talk about reliability, what tasks, and tests we do.

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Fundamentals of Failure Analysis

The intent of any failure analysis is to understand the problem well enough to craft and implement short and long-term solutions.

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Parts Count Reliability Prediction

‘parts count reliability prediction’ is awful. And in this webinar, we will explain why. If this intrigues you, enjoy this episode.

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Fundamentals of Regression Analysis

Let’s explore a few of the limitations, checks, and options when taking a look at some data. Checking assumptions and more.

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Software Root Cause Analysis (with Fault Trees)

Bugs are so common that we know how most of them happen. So we can work out what went wrong to allow that bug to happen.

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Fundamentals of Life Estimation

Let’s explore the range of options available to estimate the life of an item, plus the pros and cons of each method.

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Fundamentals of Environmental Testing

Let’s explore when and how to identify which types of environmental testing should be done so that they add value.

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What is Reliability?

So if you want to find out what reliability actually is (no equations) … this webinar is for you! - it's not MTBF, BTW

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Fundamentals of Success Testing

Let’s examine the success testing approach, the assumptions, benefits and faults. Plus, what other options you may have available

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What is Accelerated Life Testing (ALT)?

perhaps you want to estimate the reliability of something that is supposed to last a long time, but don’t have a lot of time to test.

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Engineering Framework to Assess Equipment Reliability

Explore the framework to assess equipment reliability for air fin coolers and ensure operational excellence in process plants.

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The MTBF Sucks Here’s Why

Ever heard of the MTBF? A lot of people have. But not many people (truly) understand what it is.

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Fundamentals of Derating

Let’s explore why derating is important, the difference it can make, and a few methods to implement derating with your design team.

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What is Weibull Probability Plotting?

Weibull probability plotting is perhaps the most widespread data analysis tool used in reliability and quality engineering.

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Linking Customer Needs to Product Requirements and Robust Design

Product requirements that have the most impact on customer needs should be considered in your design failure modes and effects analysis (DFMEA)

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What are ‘Cut Sets’?

Reliability engineers are often taught about ‘cut sets.’ But we rarely use them. Many reliability engineers don’t know what they are.

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Fundamentals of Metric Monitoring

Fundamentals of Metric Monitoring podcast episode with speaker Fred Schenkelberg Following along the idea stated by Lord Kelvin, “…when you can measure what your are speaking about, and express it in numbers, you know something about it…”, we have organizations measuring reliability performance. Not that measuring something is managing it, those are two different activies. […]

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Confidence is a Measure of You (not our product)

Want to understand the only way you should be generating confidence when it comes to reliability engineering?

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Fundamentals of Allocation

Let’s discuss a couple of easy ways to accomplish reliability allocation or apportionment then examine a valuable way to use this tool.

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What is the Lognormal Distribution and How does it Help Me

Understand the lognormal distribution and its correlation to the bell curve. Harness this understanding to make crucial decisions.

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Alternatives to a Long ALT

We examine using our knowledge and the knowledge of others to streamline the testing or avoid it altogether.

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Fundamentals of Ongoing Reliability Testing

Let’s explore the range of considerations when designing an ORT to optimize the ORT’s ability to identify field problems efficiently.

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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.

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What’s Wrong with Using FITs?

Electronic component manufacturers use the term ‘Failures in Time’ of ‘FITs’ to describe the reliability of their products. But what is a FIT?

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Fundamentals of System Effectiveness

Let’s examine system effectiveness in more detail. Then, examine an example or two so you can apply this concept to your situation.

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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?

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Fundamentals of Reliability Goals

Let’s explore the elements that make up a reliability goal. Plus, the range of inputs you can use to define each element.

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Using Fault Trees to Conduct Root Cause Analysis (RCA)

Learn how fault trees can be used for conducting root cause analysis in this informative webinar from Accendo Reliability.

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Fundamentals of a Professional Development Plan

Let’s examine a few principles and tips so you can learn and master what you desire to learn and master.

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3 Parameter Weibull Analysis

Some of you might have heard of the ‘3 Parameter Weibull distribution.’ But what makes this different and (sometimes) helpful?

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Fundamentals of Pareto Analysis

Let’s explore the basics of conducting Pareto Analysis, plus a few different ways to create and modify the plots.

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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.

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Fundamentals of Hypothesis Testing

Let’s examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests.

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Using FMEA (or Functional) Block Diagrams to Understand Your Item

This is where taking a breath and understanding our product before we build the wrong thing fast can really helpful.

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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.

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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.

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Fundamentals of Control Charts

Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable.

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AI Product Development and Deployment

Greg will discuss the critical architecture and design practices that need to be considered in AI product development and deployment.

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