Your Reliability Engineering Professional Development Site
Find all articles across all article series listed in reverse chronological order.
In this video, George discusses how clean, dry, well balanced, and consistent air can be a huge opportunity for continuous improvement in a facility. If you’re looking to improve the efficiency and reliability of your facility, you won’t want to miss this!
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Underpinning the coherence of statistical process control, process capability analysis and numerous other statistical applications is a phenomenon found throughout nature, the social sciences, athletics, academics and more. That is, the normal distribution, or less formally, the bell curve. Because of its ubiquity, this normal distribution is arguably the most important data model analysts, engineers, or quality professionals will learn.
A brief introduction to the statistical hypothesis test called the t-test. Useful when examining if there is a difference between the means of two groups.
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The MTBF calculation is widely used to evaluate the reliability of parts and equipment, in the industry is usually defined as one of the key performance indicators. This short article is intended to demonstrate in practice how we can fool ourselves by evaluating this indicator in isolation. [Read more…]
In a previous CERM Insights I mention ESG (Environmental, Social, Governance) Risk. The U.S. and European governments are starting to stress ESG risk management. This article looks at the proposed ESG requirements of the Security and Exchange Commission (SEC), and the implication for quality management.
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Value Driven Maintenance is a financial modelling method to pick maintenance process improvements. Used alone VDM gives you a “starry-eyed” view of maintenance savings. Once you combine VDM with Plant Wellness Way system-of-reliability analysis you get practical solutions.
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This is my second video on Sample Size in Reliability Testing! In this video, we will explain the Weibayes Approach to estimate sample size and estimating test length when sample size and shape parameter is known.
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Insert these pages into your copy of MIL-HDBK-217. The boldface text is changed to MIL-HDBK-217E [1], section 5.2, on parts count reliability prediction. The changes explain how to use “Paretos,” proportions of parts failing in the field, to compute a reality factor that makes predicted Paretos match field Paretos. You can use field Paretos to calibrate predictions for new equipment. You probably have field Paretos on related parts used in your other equipment, which is now in the field. Remember, the field determines reliability.
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I have a service that regularly monitors my home for termites. Using RCM, let’s determine if this Condition Based Maintenance task is both technically appropriate and worth doing.
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The bottom line is reliability engineers must balance honesty and transparency with the pressure to meet business and customer expectations. The second E in the FINESSE fishbone diagram stands for Ethics. Three types of ethics are virtue, consequential, and duty-based. The most important aspect is understanding your ethical framework as you make decisions and communicate to others as a trusted advisor. These three tips will help you improve.
Thanks to a reader that noticed my question on why MTBF came into existence, we have a new (new to me at least) rationale for using MTBF. Basically, MTBF provides clarity on the magnitude of a number, because a number in scientific notation is potentially confusing.
What is doubly concerning is the use of MTTF failure rate values in ISO standards dealing with system safety.
Let’s explore the brief email exchange and my thoughts. [Read more…]
Why is confidence level so important in engineering test data analysis?
From the name itself it gives us a very good hint; Confidence level is giving the confidence in data analysis. In the next graph, you can find 10 samples and fitted Weibull 2p distribution with 95% of Confidence level:
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Safety Projects International Inc. discusses how to handle different types of crises that may arise at your facility. If 2020 has shown us anything, it’s that we need to adapt to outside elements that may affect your team processes and procedures. Let’s get started on a crisis management plan.
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A definition: Maintenance describes the management, control, execution and quality of those activities which will reasonably ensure that design levels of availability and performance of assets are achieved in order to meet business objectives. [Read more…]
Dear friends, I am happy to release this video about determining sample size in reliability and functional testing! The video discusses determining sample size with Success Run Theorem (or Success Testing) will zero failures as well as given number of failures. I have illustrated use of basic formula and calculation as well as use of various templates to determine sample size. Hope you find this important and interesting!
This is part-1 of my videos on sample size! We recommend viewers to watch our video on Binomial Distribution before watching this video, in case they have not seen it before
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