Our goal for doing podcasts is simple: to continue meeting people where you are, providing important information you can use on the job
by the folks at Fluke Reliability
[Read more…]Your Reliability Engineering Professional Development Site
by Fred Schenkelberg Leave a Comment
by the folks at Fluke Reliability
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by the folks at IGS
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by Christopher Hallum
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by the folks at Reliability Solutions
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by the folks at Reliabilityweb.com
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By Amin Astaneh
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By Ash Patel & Sebastian Vietz
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by Dane Sullivan
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by Brett Scott and Adam Lunt
[Read more…]by André-Michel Ferrari 2 Comments

In an increasingly complex and interconnected world, ensuring that systems—from machinery to software, from power networks to consumer products—perform reliably across their intended lifetimes, is essential not only for safety and quality but also for economic viability. This intersection between ensuring dependable performance and managing costs is broadly studied under what is known as Reliability Engineering and Economics. Or Relia-nomics.
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For reliability engineers, numbers can be our comfort zone. Predictions, modelling, analysis and results, work that is rigorous, data-driven, and essential for complex systems – but does it always tell the full story?
Recently completing Level 1 of the CIEHF Cross-Sector Learning Pathway has led me to consider system reliability in a different light. Technical performance alone does not guarantee success and to truly understand reliability, we must also account for the human component – the operators, maintainers, and decision-makers whose actions are inseparable from system outcomes.
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Asset management for facilities and infrastructure has fallen into the leadership realm of gearheads and data managers. The result is asset management programs that are years (or decades) and hundreds of thousands (or millions) of dollars into their programs and still cannot produce realistic replacement values for their assets.
Does it matter that we have spent most of our attention on asset management systems, GIS integrations, condition assessments, and preventive maintenance programs? You bet it does. And you may have put too much time in the wrong places. [Read more…]
by Semion Gengrinovich 2 Comments

In today’s data-driven business landscape, two roles have emerged as critical to improving company strategy through data analysis and system optimization: data scientists and reliability engineers. While these roles have distinct focuses, they share common skills and often work together to drive organizational success. This article will explore the similarities and differences between data scientists and reliability engineers, highlighting how their skills complement each other in day-to-day activities and contribute to data-driven decision-making.
[Read more…]by Fred Schenkelberg Leave a Comment

In today’s complex product environment, becoming more and more electronic, do the designers and manufacturers really understand what IS Reliability ??
It is NOT simply following standards to test in RD to focus only on Design Robustness as there is too much risk in prediction confidence, it only deals with the ‘intrinsic’ failure period and rarely has sufficient Test Strength to stimulate failures. [Read more…]
by Ray Harkins Leave a Comment

Attribute inspection is one of the most widespread and difficult-to-control measurement methods in manufacturing. Whether inspecting machined surfaces for cosmetic defects, checking weld quality, reviewing molded parts, evaluating assembly completeness, or using go/no-go gauges, many operations depend on human inspectors to make subjective judgments. [Read more…]
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