Abstract

Kirk and Fred discuss the term confidence and its use in reliability engineering

Key Points

Join Kirk and Fred as they discuss confidence in predicted failure distributions and the use of reliability engineering.
Topics include:

• Knowing how and why a system fails, such as a modem, and the variations in the environmental stresses is critical to understanding and knowledge of intrinsic wear out of components.
• When you have only one sample for evaluation from three separate vendors, and when we accelerate the physics driving the wear out, and they all exceed by orders of magnitude the required field use life, we can be confident that any of them will meet the life requirements.
• Some major considerations for determining whether a component or system will work as intended for the required time can be the quality of the manufacturing, installation, and maintenance over time.
• Here is a link to Chris Jackson’s webinar titled “Confidence is a measure of you”.

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.

SOR 1052 Confidence ReliabilityKirk Gray

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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 distribute freely. Attempting to predict reliability  is a misleading and costly approach to use for developing a reliable system.

You can now purchase the most recent recording of Kirk Gray’s Hobbs Engineering 8 (two 4 hour sessions) hour Webinar “Rapid and Robust Reliability Development 2022 HALT & HASS Methodologies Online Seminar” from this link.

For more information on the newest discovery testing methodology 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.