What is MLE?
Abstract
Chris and Fred discuss the three-letter acronym ‘MLE’ stands for? Well, it stands for ‘maximum likelihood estimate.’ Ever heard of it? Do you know what it means?
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Your Reliability Engineering Professional Development Site
by Christopher Jackson 4 Comments
Chris and Fred discuss the three-letter acronym ‘MLE’ stands for? Well, it stands for ‘maximum likelihood estimate.’ Ever heard of it? Do you know what it means?
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Kirk and Fred discuss the impact of the Internet of Things (IoT) on maintenance and the data feedback to the manufacturer on usage and failure data.
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by Dianna Deeney Leave a Comment
Our team is saying “No” to our co-work session.
We want to have a working meeting with them to get important information and make decisions. Since they declined, now we are missing an important viewpoint and source of design inputs! Plus, it could prove disastrous, later, when we have a pass/go decision on our concept designs.
In this week’s episode we talk about ways to overcome this challenge, beyond typical schedule availability. Tune in as we uncover practical strategies that make co-working sessions truly valuable which will help us in maximizing meeting value and participation.
by Mike Konrad Leave a Comment
In today’s episode, we’re exploring automated optical inspection (AOI) and x-ray inspection technology within the electronic assembly industry.
Joining us are two experts who bring a wealth of knowledge and experience to the table.
Kirk and Fred delve into the crucial topic of managing returned parts and products, even those that are functioning perfectly.
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by Philip Sage Leave a Comment
Philip and Fred discuss some of the basic differences and similarities between these two types of statistical toolsets.
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by Philip Sage Leave a Comment
Philip and Fred discuss a few challenges and approaches to deal with missing data.
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by Greg Hutchins Leave a Comment
Greg and Fred discuss pushing the limits for personal and professional development. Greg discusses wearing a pink tutu to Oregon Country Faire and Burning Man. Fred discusses pushing the limits for product testing and product development.
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by Dianna Deeney Leave a Comment
Can visualizing your data be the game-changer you’ve been missing?
Discover why plotting isn’t just a step in data analysis, but a crucial practice that can reveal uniformity, natural variations, and even potential flaws in your test methods. Learn about the importance of recognizing multiple failure modes and how to avoid common pitfalls such as mishandling outliers and making incorrect assumptions. This episode is packed with actionable advice to enhance your decision-making process.
by Christopher Jackson Leave a Comment
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!
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by Mike Konrad Leave a Comment
Recorded live in Anaheim California during the IPC Apex Expo.
This episode features four interviews including:
• Kimberly Fagan from PVA
• Taylor Wagan from CETEC ERP
• Neil Hubble from Akrometrix
by Greg Hutchins Leave a Comment
Greg and Fred discuss the importance of the pursuit of ribbons. What are ribbons? They are the badges, degrees, brands, and certificates that we all strive for. They confer knowledge, skills, and abilities to others. They are the things of life that we do for personal improvement and enrichment. Greg believes the pursuit of ribbons or recognition is what we all do from the day we are born to the day we pass on. Fred believes knowledge by itself is sufficient. What do you think?
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by Christopher Jackson Leave a Comment
Chris and Fred discuss reliability prediction and how it can relate to the ‘design’ phase when there is no data. How do you ‘predict reliability?’
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by Christopher Jackson Leave a Comment
Chris and Fred discuss the difference between good and poor reliability testing.
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by Philip Sage Leave a Comment
Philip and Fred discuss new shiny objects and why digital twins and IIOT will not solve your core problems.
High Precision Planning (HPP) supports High Precision Maintenance (HPM) which is a program running in elite industries today.
The emphasis on HPP is an absolute requirement to achieve HPM.
The benefits of achieving HPM have been demonstrated to be an improvement up to 250% in first-pass quality.
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