March 2017
Intermediate to advanced
478 pages
12h 47m
English
Content preview from Reliability, Maintainability and Risk, 9th Edition
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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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