Your Reliability Engineering Professional Development Site
Stay informed on the latest content added to the site, including: articles, podcasts, webinars, live events and assorted other reliability engineering professional development materials added each week.
A good physics of failure (PoF) model helps you understand the impact of stresses on the time-to-failure distribution for a specific failure mechanism. Let’s discuss PoF models, including how to create and use them effectively. [Read more…]
Standards provide guidance, a common language, and a bit of confusion. Using the right standard and using it well can help your reliability program. Using standards poorly will harm your ability to create reliable products.
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Alex Desselle and Fred discussing dealing with and using data especially concerning condition monitoring.
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Testing is expensive. Reliability testing is often complex. Let’s break down the basics of planning and conducting reliability testing that provides meaningful results cost-effectively and timely. Let’s do testing right.
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People use your product and assemble, move, and store it. If someone cannot interact with your product, with or without the manual, they may consider your product a failure. Designing in the ability for an individual to use your product properly is the art of considering human factors. [Read more…]
Kevin Clark and Fred discussing a new set of devices and services to provide real-time vibration and temperature data for your factory’s assets.
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If your product is stronger than the applied stress, it should work. The stress/strength relationship concept is well known, but did you know stress and strength change over time? Let’s use the best information and tools for this analysis. [Read more…]
Product failures may occur due to material or component variability. The steel in a bracket is more brittle than optimal, or the capacitance is on the low side of an acceptable range. Designing a product with variation in mind enables the creation of a reliable product. [Read more…]
On this week’s episode of Rob’s Reliability Project, I sit down with James Kovacevic and talk about preventive maintenance optimizations (PMOs). James helps us understand what a PMO is, how we can do it better and gives us some tips on what to avoid.
Follow James Kovacevic on LinkedIn at:www.linkedin.com/in/jameskovacevic/
Follow Rob Kalwarowsky on LinkedIn at:www.linkedin.com/in/robert-kalwarowsky-p-eng-03a43552/
For any questions or inquiries, emailrobsreliabilityproject@gmail.com
Stress screening, highly accelerated stress screening, and burn-in are expensive activities to avoid. Yet stress screening does have a valuable purpose in specific circumstances. Let’s talk about when and why you may conduct stress screening.
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The Friedman test is a non-parametric test used to test for differences between groups when the dependent variable is at least ordinal (could be continuous). The Friedman test is the non-parametric alternative to the one-way ANOVA with repeated measures (or the complete block design and a special case of the Durbin test). If the data is significantly different than normally distributed this becomes the preferred test over using an ANOVA.
The test procedure ranks each row (block) together, then considers the values of ranks by columns. The data is organized in to a matrix with B rows (blocks) and T columns (treatments) with a single operation in each cell of the matrix. [Read more…]
Systems and processes exist in our dynamic world. Each organization and situation is different. Just as there is not one risk management process that works for any organization, there also is the need for continuous improvement of an existing system.
When first designing a risk management process for your organization, you consider your objectives and adjust a framework to fit your needs. Over time your objectives and the surrounding environment changes, thus requiring a critical look at your process. [Read more…]
A complete reliability goal statement element involves a product’s environment and use conditions. The ability to define these clearly during the design process is not always easy, yet a valuable addition to your reliability program.
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A common question about reliability testing is, “What is the sample size?” It is also a difficult question to answer well. The right sample size balances cost, accuracy, and variability. In some cases, we also consider the time to results.
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