Template:Example: Test Design Using Expected Failure Times Plot: Difference between revisions

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'''Test Design Using Expected Failure Times Plot'''
#REDIRECT [[Expected_Failure_Times_Plot_Example]]
 
Four units were allocated for a reliability test. The test engineers want to know how long the test will last if all the units are tested to failure. Based on previous experiments, they assume the underlying failure distribution is a Weibull distribution with <math>\beta</math> = 2 and <math>\eta</math> = 500.
 
 
'''Solution'''
 
The expected failure times with 80% 2-sided confidence bounds are given below.
 
[[Image: Expected Failure Plot example Result Summary.png|thumb|center|400px]]
[[Image: Expected Failure Plot example Result Plot.png|thumb|center|400px]]
 
From the above results, we can see the upper bound of the last failure is about 955 hours. Therefore, the test probably will last for around 955 hours.
 
As we know, with four samples, the median rank for the second failure is 0.385728. Using this value and the assumed Weibull distribution, the median value of the failure time of the second failure is calculated as:
 
<center>
<math>\begin{align}
  & Q=1-{{e}^{{{\left( \frac{t}{\eta } \right)}^{\beta }}}}\Rightarrow  \\
& \ln (1-Q)={{\left( \frac{t}{\eta } \right)}^{\beta }} \\
& \Rightarrow t=\text{349.04}\\
\end{align}</math>
</center>
 
Its bounds and other failure times can be calculated in a similar way.

Latest revision as of 03:53, 15 August 2012