Accendo Weekly Update #448 June 2, 2024
Applied Reliability Analysis
A New Course by Steven Wachs on Using Weibull++
This is a quiet, well, not so quiet, new course announcement. The 32-hour course is on-demand, online, and self-paced and covers the common reliability analysis techniques many reliability professionals perform, such as life data regression analysis, estimating reliability metrics, analyzing field data, test planning, accelerated life testing, and more.
We're still working on setting up the options for group purchases or buying individual modules. Contact us if interested in these options for details.
As with all of Steven's courses, there is a participant guide, textbook, and data files for examples and exercises, plus instructor support via email or phone. If you have any questions about the course - let us know.
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Announcements & Reminders
Steven also runs the Reliability Analysis Methods course, which is similar to the Applied Reliability ?Analysis course mentioned above. The main difference is the RAM course uses Minitab while the ARA course uses Weibull++.
Speaking of courses - anyone interested in a course based on the book The Process of Reliability Engineering? The idea would be a mixture of reading, lectures, and one to one discussions, so you can apply the concepts in your situation. Interested? let me know. If there is enough interest we can make it happen.
Stay safe, stay flexible, and stay resilient.
Cheers,
Fred
PS: Be sure to check out the rest of the courses offered via Accendo Reliability.
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Reliability.FM
The Reliability Engineering podcast network
Podcasts continue to gain listeners, so thanks for letting others know. Let us know what you'd like to talk about. PS: Now, with over 3,186,601 downloads. Thanks for listening! Tell a friend about the network.
SOR 969 Common Reliability Mistakes
SOR 970 What is a Mode?
QDD 144 From Solo to Collaboration: Lessons from Nobel Laureate Shuji Nakamura and Dale Carnegie
AP 005: Revolutionizing Maintenance Management with Sigga's Connected Worker Solutions
MC 026 Phase Diagrams
RM 144: A Conversation with Indium's Rick Short about Education-Based Marketing
Using FMEA (or Functional) Block Diagrams to Understand Your Item
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.
Fundamentals of Process Capability
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.
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Reliability?Live Events
领英推荐
Reliability Engineering webinars and master classes
Join the discussion at the next live event
Fundamentals of Hypothesis Testing
Scheduled for June 11, 2024, at 9 am?US Pacific time.
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.
Understanding (how bad) the Exponential Distribution (is)
Scheduled for June 25, 2024, at 8 am?US Pacific time.
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!
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Reliability Articles
Reliability Engineering essays and tutorials
Short essays and tutorials for your weekly professional reading. Did you know there are over 3,500 articles published to date? Comment or ask questions thus joining the discussion. If you have an idea for an article or would like to contribute articles, let's talk.
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Join the Linkedin Group
The Linkedin NoMTBF group is growing and while not very active does have an occasional interesting discussion. Join the discussion and maybe relate how you have raised awareness around the proper use of MTBF.
...[Read more…] ??
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Why Various Distributions Are Appropriate
In this article, I want to show you why Weibull, lognormal, and exponential distributions are more appropriate than others for modeling failure distributions. Instead of starting from the explanation of the most used fitting distributions in reliability engineering, I will begin with the analysis of artificial datasets created assuming specific failure behaviors. ? ?...[Read more…]
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Role of MSDS Sheet in Maintenance: Why MSDS Sheets Are Essential?
For many in the maintenance field, the day-to-day tasks can feel routine. Fix a leaky faucet, replace a worn belt, and ensure everything is running smoothly – it’s a process that becomes second nature. But beneath the surface of these seemingly straightforward actions lies a critical component that can safeguard both worker safety and equipment longevity... ? [Read more…]
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Eliminating Microstructure Failures
The only true way to prevent asset failure is to prevent the causes of microstructure failure from occurring.
Machines fail when their component’s microstructure is degraded or deformed to a point where it can no longer bear the load. If you prevent degradation and deformation from occurring a machine and its components will provide an exceptional lifetime. ? ...[Read more…]
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Culture Still Eats Strategy for Breakfast
It took us years to move from top-down to people-centric management, but the journey was worth it Peter Drucker once said, “Culture eats strategy for breakfast.” Throughout my career, I have spent a lot of time in the strategy room. But no matter what we decided there, until we got the organizational culture right, we were unsuccessful in executing our goals.
...[Read more…]
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Normal Distribution and Z Score
Normal distribution is one of the foundation concepts in statistics and every quality and reliability professional must understand and able to apply this concept. There are already may videos on this subject, but Hemant Urdhwareshe has tried to make the concept as simple as possible in this video. Hemant has explained the history and basics of normal distribution and its properties. ? ...[Read more…]
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?If you would like to contribute an article or series of articles on reliability, maintenance, or related topics, let's talk. The intent is to have many voices writing here. If you're interested in publishing your work via Accendo Reliability, let's talk. [email protected]
Consultant
5 个月Thanks, Fred, Keep up the good work.