Training Options

Abstract

Kirk and Fred discuss the evolution of ways to learn reliability and failure analysis with so much information available on the internet.

Key Points

Join Kirk and Fred as they discuss the many different training options for understanding reliability issues

Topics include:

Internet searches can now provide access to many different sources of information, from books to videos on how to discover and repair many types of consumer products, but the best understanding comes from disassembling the failed system and seeing the real causes.
YouTube and other online sources, such as Reddit and Google, can quickly show how to go about troubleshooting a failure and how to repair, which may be better than any user manual from the manufacturer
Online AI tools such as ChatGPT can provide a vast amount of training materials, although it currently sometimes fabricates some information, so it cannot always be trusted.
AI tools are very dependent on how a query is made, and your own understanding of the basics of the subject you are researching, and much of the material and previously published material that the Large Language Models AI uses may be wrong

Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.

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Show Notes

Please click on this link to access a relatively new analysis of traditional reliability prediction methods article from the US ARMY and CALCE titled “Reliability Prediction – Continued Reliance on a Misleading Approach”. It is in the public domain, so please feel free to distribute it. Attempting to predict reliability is a misleading and costly approach to use for developing a reliable system.

Here is a link to the book “Next Generation HALT and HASS: Robust design of Electronics and Systems,” written by Kirk Gray and John Paschkewitz.

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