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

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[[Image: Expected Failure Plot example Result Summary.png|thumb|center|400px]]
[[Image: Expected Failure Plot example Result Summary.png|thumb|center|400px]]
[[Image: Expected Failure Plot example Result Plot.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 2nd failure is calcualted as:
<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>
Its bounds and other failure times can be calcualted in a similar way.

Revision as of 18:00, 24 February 2012

Test Design Using Expected Failure Times Plot

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]\displaystyle{ \beta }[/math] = 2 and [math]\displaystyle{ \eta }[/math] = 500.


Solution

The expected failure time with 80% 2-sided confidence bounds are given below.

Expected Failure Plot example Result Summary.png
Expected Failure Plot example Result Plot.png

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 2nd failure is calcualted as:

[math]\displaystyle{ \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]

Its bounds and other failure times can be calcualted in a similar way.