Your Reliability Engineering Professional Development Site
Find all articles across all article series listed in reverse chronological order.
Spending the right time on the right activity. Today this is all about time management and how to organize and plan your time out. this is a significant skill for more than just one role within the maintenance organization.
Institute of Quality and Reliability is happy to release this video to understand chi-square distribution. In this video, Hemant Urdhwareshe explains the chi-square distribution with a simulation to understand it better. Chi-square is one of the basic distributions used in hypothesis tests. The video is limited to understanding of the distribution and explains how to use tables of chi-square distribution. The video will be useful for professionals who want to take the ASQ Certification exams such as CQE, Six SIgma Black or Green Belt, CMQ/OE, CRE etc.
The shortest distance between truth and a human being is a story. Anthony de Mello
Key Teaching Principle #6 is the instructor uses stories and personal experiences to deepen learning.
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.
https://www.linkedin.com/groups/1857182/
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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. In other words, I will start from the data and not from the statistical distributions. I think that this approach can help those who deal with this topic for the first time.
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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: the MSDS sheet, also known as the Safety Data Sheet (SDS). Let’s learn what does MSDS stand for. [Read more…]
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. However, you must do this at every phase of the asset’s life cycle to get world class reliability.
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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.
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. Hemant has further explained the concept of standard normal distribution and how to apply it to solve some typical problems using tables of standard normal distribution. You can download the tables from www.world-class-quality.com.
The United States Conference of Mayors created a PFAS Toolkit. The information and resources included provides insights into several key aspects that local governments and businesses should be aware of in relation to PFAS (forever chemicals). Key parts of the PFAS Toolkit are presented here.
Per- and polyfluoroalkyl substances (PFAS) are a group of chemicals developed in the 1940s that have been used in a variety of consumer products like semiconductors, cellphones, textiles, renewable energy, and medical devices. Two chemicals, perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) are no longer produced today, but they were once used in a wide variety of industries. Today, trace levels of PFOA and PFOS can be measured in water, air, soil, animals, humans, and some consumer products globally. PFOA/PFOS are persistent in the environment, and some studies suggest that long-term exposure at increased doses may lead to negative health impacts. [Read more…]
The following is a recent discussion on the sister Linkedin NoMTBF Group. It was and may continue to be a great discussion. Please take a look and comment on where you stand. Do you have some form of the Arrhenius reaction rate equation in your reliability engineering work? Join the discussion here with a comment or on the Linkedin group conversion.
Fred
In a minute you’ll know if your organisation has what it takes to achieve world class reliability performance. Use this audit tool to gauge your organisation’s capability to deliver outstanding reliability. Use its scale to plan how to improve it.
Organisations that promote formalised and standardised risk management practices can create a risk culture where their employees view risk management as a compliance and tick-the-box exercise.
In comparison, organisations that intentionally promote a more informal environment where risk discussions and information sharing naturally occur as part of the broader organisational culture when making decisions can experience a positive risk culture.
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The Kaplan-Meier estimator is the maximum likelihood, nonparametric reliability estimator for censored, grouped lifetime data. It’s traditional. It’s in statistical software. Greenwood’s variance formula is well known. Could Kaplan-Meier be improved: smaller variance, better actuarial forecasts, seasonality, separate cohort variability from reliability? Could you estimate reliability without life data and preserve privacy?
How do we select the appropriate system? What is the value and why do you need it? George Williams and Ramesh Gulati have it all covered.
