Expected Failure Time Plot: Difference between revisions

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{| border="1" cellspacing="1" cellpadding="1" width="400" align="center" height="400"
{| border="1" cellspacing="1" cellpadding="1" width="400" align="center"
|+ Table 1: 5%, 50% and 95% Ranks for a sample size of 6.&nbsp;  
|+ Table 1: 5%, 50% and 95% Ranks for a sample size of 6.&nbsp;  
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|-
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|-
|-
| valign="middle" align="center" | 1  
| valign="middle" align="center" | 1  
| valign="middle" align="center" | 0.85%
| valign="middle" align="center" | 0.85%  
| valign="middle" align="center" | 10.91%
| valign="middle" align="center" | 10.91%  
| valign="middle" align="center" | 39.30%
| valign="middle" align="center" | 39.30%
|-
|-
| valign="middle" align="center" | 2  
| valign="middle" align="center" | 2  
| valign="middle" align="center" | 6.29%
| valign="middle" align="center" | 6.29%  
| valign="middle" align="center" | 26.45%
| valign="middle" align="center" | 26.45%  
| valign="middle" align="center" | 58.18%
| valign="middle" align="center" | 58.18%
|-
|-
| valign="middle" align="center" | 3  
| valign="middle" align="center" | 3  
| valign="middle" align="center" | 15.32%
| valign="middle" align="center" | 15.32%  
| valign="middle" align="center" | 42.14%
| valign="middle" align="center" | 42.14%  
| valign="middle" align="center" | 72.87%
| valign="middle" align="center" | 72.87%
|-
|-
| valign="middle" align="center" | 4  
| valign="middle" align="center" | 4  
| valign="middle" align="center" | 27.13%
| valign="middle" align="center" | 27.13%  
| valign="middle" align="center" | 57.86%
| valign="middle" align="center" | 57.86%  
| valign="middle" align="center" | 84.68%
| valign="middle" align="center" | 84.68%
|-
|-
| valign="middle" align="center" | 5  
| valign="middle" align="center" | 5  
| valign="middle" align="center" | 41.82%
| valign="middle" align="center" | 41.82%  
| valign="middle" align="center" | 73.55%
| valign="middle" align="center" | 73.55%  
| valign="middle" align="center" | 93.71%
| valign="middle" align="center" | 93.71%
|-
|-
| valign="middle" align="center" | 6  
| valign="middle" align="center" | 6  
| valign="middle" align="center" | 60.70%
| valign="middle" align="center" | 60.70%  
| valign="middle" align="center" |  
| valign="middle" align="center" |  
89.09%
89.09%
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Furthermore, consider that for the units to be tested the underlying reliability model assumption is given by  
Furthermore, consider that for the units to be tested the underlying reliability model assumption is given by  


<br>


<br>


 
[[Category:Weibull++]] [[Category:Test_Design]] [[Category:Special_Tools]]
 
<span id="fck_dom_range_temp_1297703273161_340" />
 
[[Category:Weibull++]]
 
[[Category:Test Design]]
 
[[Category:Special Tools]]

Revision as of 17:04, 14 February 2011

When a reliability life test is planned it is useful to visualize the expected outcome of the experiment. The Expected Failure Time Plot (introduced by ReliaSoft in Weibull++ 8)provides such visual.

Background & Calculations

Using the cumulative binomial, for a defined sample size, one can compute a rank (Median Rank if at 50% probability) for each ordered failure.

As an example and for a sample size of 6 the 5%, 50% and 95% ranks would be as follows:


Table 1: 5%, 50% and 95% Ranks for a sample size of 6. 
Order Number 5% 50% 95%
1 0.85% 10.91% 39.30%
2 6.29% 26.45% 58.18%
3 15.32% 42.14% 72.87%
4 27.13% 57.86% 84.68%
5 41.82% 73.55% 93.71%
6 60.70%

89.09%

99.15%


Furthermore, consider that for the units to be tested the underlying reliability model assumption is given by