Sample Size Issues on Reliability Test Design (可靠性试验设计中的样本量问题)

Huairui Guo
Dr. Huairui (Harry) Guo is the Director of the Theoretical Development Department at ReliaSoft Corporation. He received his Ph.D. in Systems & Industrial Engineering and M.S. in Reliability & Quality engineering; both from the University of Arizona. His research and publications cover reliability areas, such as life data analysis, repairable system modeling and reliability test planning, more


Determining the right sample size for a reliability test is always challenging. If the sample size is too small, not enough failure information can be generated. If the sample is too large, cost and time probably will be wasted. In this presentation, we will discuss several commonly used methods on determining the right sample size for 1) reliability demonstration tests, 2) operational life tests under use condition, 3) accelerated life tests under elevated stresses. The theory behind these methods will be discussed first, and then examples of applying these methods will be provided using commercial software tools.

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