Accendo Weekly Update #424
Accendo Reliability Survey
Results are in
The first two surveys have results, and you, too, can respond if you haven't as of yet.
The question on 'how one likes to learn' is not all that significant as each option did receive a wide range of rankings. One of the comments best sums up the results "Sorry but it is almost impossible to rank these in order, it is horses for courses, depending what you want to lean and why."
As with many things we deal with, it depends. Having many options and styles is a good thing, and finding what works for you is the key to ongoing professional development.
Follow the link to and scroll down below the current survey to find links to the results of the two surveys recently conducted.
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Announcements & Reminders
The Accendo Reliability Webinar Series recorded events page continues to attract visitors. One of the measures I routinely track is time on the site per visit - and it has ticked up over the past couple of months by about 10%. (I'm adding 5 to 10 recordings to this new location weekly and have about 50 left to post.)
As I look forward to 2024, I'd like to know what we can do for you. What would be helpful to you in the coming year? I'm looking for suggestions and will seriously consider feasible ideas.
If you have an announcement that you'd like to share with your peers in this space, send it over.
Stay safe, stay flexible, and stay resilient.
Cheers,
Fred
PS. If you know someone who writes or podcasts about reliability topics - let me know and I'll invite them to join Accendo Reliability to share their work.
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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 2,988,035 downloads. Thanks for listening! Tell a friend about the network.
SOR 921 Lifespan of an FMEA
SOR 922 Many Ways to Estimate Reliability
QDD Getting Started with FMEA - It All Begins with a Plan
WQW 011: Counting in Action
MC 019 Two Fundamental Metallurgy Principles
RiM 26: Hiring Tips for Reliability Engineers
RM 133: Novel Wireless / Wearable ESD Monitoring
Why Accendo Reliability
I recently received a question about the artwork found at Accendo Reliability. “Why castles?” So, I provided an answer and thought I would share it in this webinar. Also, let’s talk about how and why Accendo Reliability got started and how it’s been doing over the past ten years.
ISO 42001 - 10X Bigger Than ISO 9001
Greg is an opportunist. Greg wrote 4 best selling books on ISO 9001 in the 1990’s (John Wiley).
Greg now believes that ISO 42001 will be 10 X bigger than ISO 9001. Find out why? ISO 42001 is the new (FDIS) management system standard. Learn how to reposition your work/career/job for this new opportunity.
What is ‘Fatigue’?
Many reliability engineers know what fatigue is (in addition to feeling tired). Fatigue is an example of a ‘failure mechanism.’ A failure mechanism is the physical, chemical or electrical process that results in failure. Fatigue is interesting in that it allows something to fail without it ever being exposed to stresses that are beyond its strength. How does this happen? Fatigue is based on cracks. Cracks magnify stresses at their tips. So cycling stresses can have the effect of incrementally (and sometimes very slowly) increasing the crack length at the tip. Fatigue has caused all manners of failures that have surprised us throughout the history of engineering. But now we have learned so much more about this really fascinating failure mechanism can cause steel, aluminium and other material to fail, even when the stresses they experience are tiny. Want to learn more about fatigue? And how you can help prevent it? Join us for this webinar.
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Reliability?Live Events
Reliability Engineering webinars and master classes
Join the discussion at the next live event
Risk-Based Auditing: Everything You Need to Know To Get Started
Scheduled for January 2, 2024, at 9 am?US Pacific time.
Speaker: Greg Hutchins
Risk-Based Auditing (RBA) is all about risk management. Risk-based auditing is simply risk transfer from the auditee to the auditor.
In today’s uncertain world, the lens for most, if not all, problem-solving and decision-making is risk. Risk-based auditing is a must-have tool for all quality and reliability professionals. ALL ISO management systems require RBA, whether 1st, 2nd, or 3rd party audits.
领英推荐
In this webinar, Greg will discuss:
? What are 5 different types of assurance and audits? ? What is risk-based auditing and risk-based assurance? ? How to plan, conduct, and report risk-based audits? ? What are the key challenges and solutions of risk-based auditing? ? What are the 3 key questions for assessing and auditing AI and other high-risk systems such as critical infrastructure? ? How can YOU become a risk-based auditor?
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Dealing with Small Sample Sizes
Scheduled for January 9, 2024, at 9 am?US Pacific time.
Speaker: Fred Schenkelberg
It’s rare to have sufficient samples for all the desired reliability work. It’s common to have very few samples. So, how does one manage to learn what is necessary to learn from the few samples? How can you maximize the value of reliability work in the scant sample situation?
Let’s discuss a few approaches and a process that enable you and your team first to have the right amount of samples. And what can be done when there are too few samples available? The trick is to start with what future decisions need better information and not start with how many samples you have.
There are three strategies to deal with small sample sizes. First, focus on the critical information only samples can provide and how valuable that information is to the team. Second, use other methods to create the needed information without using samples. Third, organize the various testing and measurements of the sample allocated to reliability testing along with samples or units assigned to other sections of the team to extract as much information as possible.
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You’ve Heard about Weibull Analysis – What is ‘WeiBayes Analysis?’
Scheduled for January 23, 2024, at 8 am?US Pacific time.
Speaker: Chris Jackson
Some of us might have heard of the Weibull distribution. Some of us might have heard about Weibull analysis. Weibull analysis uses the Weibull distribution to help us visualize failure data in a really useful way. We can ‘see’ if our product is wearing out. We can see if our product is wearing in. We can estimate how many things will have failed by certain times. We can do all manners of other wonderful ‘reliability engineering’ things through Weibull Analysis.
But then there is ‘WeiBayes Analysis.’ It is a combination of Weibull and Bayesian analysis (… I know that doesn’t mean much to most people). It can be really useful if we know ‘how’ something we are testing fails. Because if we do, then we can essentially feed a certain parameter into the analysis to help it on its way. And this means that we don’t need as much data (always a good thing in reliability engineering). But there quite a few catches. Interested in learning about Weibayes analysis? Join us for this webinar.
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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 3,330 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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Fire At A Biodiesel Facility
I wrote about fire in a biodiesel facility –?the last one for 2010.
Four days into 2011, a fire was reported at a biodiesel plant in Indiana. A boiler?used to heat oil?which in turn in used to?warm biodiesel?caught on fire.
...[Read more…] ??
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Evaluating Equipment Overhauls – are they Really Worth it?
Overhauling equipment is expected to bring it to an “as good as new” state. But is this really the case in reality? Equipment will deteriorate over time and progressively lose its ability to function. No matter how extensive the overhaul, the equipment will unlikely be up to the level of “newness” as when it rolled out of the assembly line. ? ...[Read more…] ?
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Bathtub Curve and Human Mortality
The bathtub curve is one of the most famous graphical representations in reliability. It shows the typical trend of failure rate over time (Figure?1). This curve can be divided into three parts corresponding to decreasing, constant and increasing failure rate.
High but decreasing failure rate in the first part of the curve (1) indicates products defective or prone to fail due to manufacturing or design issues.? ?...[Read more…]
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Crazy Risk Management with a Risk Matrix
A risk management risk matrix can trick you into leaving high consequences uncontrolled and convince you it is fine to do nothing to reduce the impacts of failure. Whether you think a bad event cannot happen has no standing in Law. The likelihood of an adverse event is unimportant; only the resultant severity is how the Law will gauge your risk abatement efforts. Did you do ‘reasonably practicable’ risk control? ? ?...[Read more…]
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Job Safety Analysis – Part 1
Job safety has come a long way in 50 years since the Occupational Safety and Health Act (OSH Act) was enacted. The American Federation of Labor and Congress of Industrial Organizations (AFL-CIO) says “more than 627,000 workers now can say their lives have been saved since the passage of the OSH Act.”
But the journey is ongoing and there’s much farther to go in eliminating death and injuries on the job. ? ...[Read more…]
?T or F Must have Failure Data
False. Nearly all organizations do not have adequate historical data found in databases to successfully carry out an RCM analysis.
...[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]
How to Get Your Boss's Boss to Understand by Communicating with FINESSE | Solutions for people, facilities, infrastructure, and the environment.
11 个月Good article on bathtub curve this week.