I’m on vacation and this is just a quick post for the week. The top five posts of NoMTBF.com by visits to date.
How to Calculate MTTF is probably popular as folks may be searching for a way to do this calculation. It’s actually very simple, yet this article asks why would you want to calculate MTBF?
Set a Reliability Goal without MTBF is another recent article and may have gather interest given it may seem impassable to set a goal without MTBF. It is possible and actually useful.
Why The Drain the The Bathtub Curve Matters is a guest post by Kirk Grey. He explores one of the many myths around the common bathtub curve and modern products.
What is the purpose of Reliability Predictions is a guest post by Andrew Roland (3 of the top 5 are guest posts…) where he examines the useful use of predictions and where many have gone astray assuming a use.
Where does 0.7eV Come From – well, actually the activation energy that represents a doubling of rate in a chemical reaction with an increase in temperature of about 10°C is 0.7eV – beyond that Kirk explores the ramifications.
Back at my office next week, and home to find a few more record breaking articles to post. Plus, if you’re interesting in writing a post, either a problem with solution, a case study, or common issue with assumptions related to reliability – let’s see how it does with visits and views.
Nice share Fred, will pass it on to our social media contacts too. Enjoy your vacation.
To move away from probabilistic metric like MTBF, MTTF etc “Physics of Failure is the only way. As a first step component failure susceptibility model is to be obtained by application of Taguchi method of DOE. Having done that obtain ” stressor characterization” as a metric with respect to established criteria of damage causing magnitude of stressor. The margin between the damage causing stressor versus the actual stressor at various real life operating stressors gives a figure of merit of reliability. May be one obtain a relationship between “figure of merit” at various operating stress/ loads. May be one can get close to deterministic metric reliability instead of MTBF/ probability based Reliability.