What to do with 3 Samples

Abstract

Carl and Fred discussing what you can do if you only have 3 samples for testing.

Key Points

Join Carl and Fred as they tell stories about testing with limited numbers of samples, the pitfalls to watch out for, and how to maximize the resulting information.

Topics include:

• Start with test objectives, before determining sample sizes
• Lipson book “Engineering Experiments”
• Weibull plots
• Success-run theorem
• Relationship between sample size, testing time, confidence and reliability
• How many lifetimes can be tested
• Statistics and Engineering both provide input to test planning
• Importance of understanding failure mechanisms
• Bogey testing works best with multiple failure mechanisms
• Samples for HALT
• Where are you in the system hierarchy?
• During product development, track all failures, regardless of when or where they happen

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 545 What to do with 3 SamplesCarl S. Carlson

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Show Notes

This podcast referenced the following book: Statistical Design and Analysis of Engineering Experiments, by Charles Lipson and Narendra Sheth, published by McGraw-Hill Book Company, 1973