Product life testing is expensive. Thus, many seek ways to minimize the cost. Two common methods is to use the fewest samples that may lead to a meaningful result, and using acceleration methods to shorten test times. Designing a test based on the pass/fail (binomial distribution) approach provides a path to using very few samples, providing a clear pass/fail result, and is relatively risky.

Let's examine the success testing approach, the assumptions, benefits and faults. Plus, what other options you may have available to get the information concerning expected product/component life. Knowing the details of success testing enables you to use it when it's appropriate and when to avoid its use.

This Accendo Reliability webinar was originally broadcast on 8 July 2025.

What is Wrong With Success Testing? article

Determine Success Testing Sample Size article

Sample Size success testing article

Extended Bogey Testing article

Success Testing Formula Derivation article

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