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.
- Social:
- Link:
- Embed:
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.
R Software and Reliability
Let’s explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control.
Reliability Distributions and Their Use
Let’s explore an array of distributions and the problems they can help solve in our day-to-day relaibility engineering work.
Practical Application of DOE
Perry discusses the basics of DOE (design of experiments) and fundamentals so you can get started with they useful product development tool.
Fundamentals of Sample Size Determination
Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making.
Fundamentals of Measurement System Analysis
When we make a measurement, we inform a decision. It’s important to have data that is true to the actual value.
Creating Effective Reliability Graphics
One of the first things I learned about data analysis was to create a plot, another, and another. Let the data show you what needs attention.
PDFs, CDFs, and other ‘Fs’ — What the hell are they?
If you want a really easy introduction or review of these functions that help inform a decision – then check out this webinar.
Discrete Distributions
Sometimes we have to work out how many of them we need (if they make up a fleet) or how many spare parts we need to keep them running.
Why We Use Statistics
Let’s explore the ways we use, or should use, statistics as engineers. From gathering data to presenting, from analyzing to comparing.
How to Check a Regression Fit
Let’s explore what residuals are, where they come from, and how to evaluate them to detect if the fitted line (model) is adequate or not.
Basic Mathematical Symbols and Stuff
This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios … including reliability.
Confidence in Reliability
Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this.
Practical Measurement Systems Analysis for Design
How to calculate Gage discrimination - the more useful result for a design situation, and even how to use it for destructive tests.
What is the Weibull Distribution?
For those who conduct reliability data analysis … or turning a jumble of dots (data points) into meaningful information
Where does the Bell Curve come from?
It is not just a ‘pretty shape’ that seems to work, It comes from a really cool physical phenomena that we find everywhere.
Fundamentals of Hypothesis Testing
Let’s examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests.
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.
Leave a Reply