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Reliability, Maintainability and Risk, 9th Edition by David J. Smith

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Chapter 5

Interpreting Data and Demonstrating Reliability

Abstract

This chapter deals with calculating inferences from random (constant failure rate) data. The chi-square method is explained for interpreting failure data and the cumulative Poisson curves used to model demonstration test plans. The use, and limitations, of zero-failures based inferences is explained.

Keywords

Inference
Confidence
chi-square
Poisson
discrimination
demonstration
OC curves
sequential

5.1. The Four Cases

From the following table it can be seen that there are four cases to be considered when interpreting k failures and T hours. First, there may be reason to assume constant failure rate, which includes two cases. If k is large (say, more than five) then the sampling inaccuracy ...

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