Test-Find-Test Data Reference Example: Difference between revisions
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{{Reference Example| | {{Reference Example|{{Banner RGA Reference_Examples}}|Test-Find-Test Data}} | ||
This example validates the results for test-find-test data in RGA. | |||
This example | |||
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International Standard IEC 61164 (Reliability Growth in Product Design and Test – Statistical Test and Estimation Methods), Example 4, pg. 32. | International Standard IEC 61164 (Reliability Growth in Product Design and Test – Statistical Test and Estimation Methods), Example 4, pg. 32. | ||
For this example, the following will be calculated: | |||
*Parameters of the Crow Extended model | |||
*Unseen BD mode failure intensity | |||
*Cramér-von Mises (CVM) goodness of fit for BD modes | |||
*Demonstrated MTBF (DMTBF) | |||
*Projected PMTBF (PMTBF) | |||
{{Reference_Example_Heading2}} | {{Reference_Example_Heading2}} | ||
{| {{table}} | The following table shows the data. | ||
{| {{table|15%}} | |||
!Failure Time | !Failure Time | ||
!Classification Mode | !Classification Mode | ||
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| 3952||BD16 | | 3952||BD16 | ||
|- | |- | ||
|+'''Termination Time = 4000 hours''' | |||
|} | |} | ||
{| {{table}} | {| {{table|15%}} | ||
!BD Mode | !BD Mode | ||
!EF | !EF | ||
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{{Reference_Example_Heading3}} | {{Reference_Example_Heading3}} | ||
The book has the following results: | |||
*BetaBD (UnB) = 0.7472, LambdaBD = 0.0326 | |||
*Unseen BD Mode Failure Intensity = 0.0030/hr | |||
*Goodness of fit for BD modes: CVM = 0.085, critical value = 0.171 with significance level = 0.1. Since CVM < critical value can fail to reject hypothesis that the model fits the data. | |||
*DMTBF = 88.9 hours | |||
*PMTBF = 135.1 hours | |||
{{Reference_Example_Heading4|RGA}} | |||
In RGA, the Crow Extended model with the maximum likelihood estimation (MLE) method was used to calculate the results. | |||
For a test-find-test, the assumption is <math>\,\!\beta =1</math>. Therefore: | |||
::<math>\begin{align} | ::<math>\begin{align} | ||
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=&\frac{4000}{45}\\ | =&\frac{4000}{45}\\ | ||
\\ | \\ | ||
=&88.8889 | =&88.8889\; \; \mathrm{hours} | ||
\end{align}\,\!</math> | \end{align}\,\!</math> | ||
*The model parameters are: | |||
[[image:IEC 61164 Example 4_Results.png|center]] | [[image:IEC 61164 Example 4_Results.png|center]] | ||
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\lambda _{p}=&\lambda _{A}+\sum_{i=1}^{N_{BD}}\left ( 1-d_{i} \right )\lambda _{i}+\bar{d}h\left ( T \right )\\ | \lambda _{p}=&\lambda _{A}+\sum_{i=1}^{N_{BD}}\left ( 1-d_{i} \right )\lambda _{i}+\bar{d}h\left ( T \right )\\ | ||
\\ | \\ | ||
=&\\ | =&\frac{N_{A}}{T}+\sum_{i=1}^{N_{BD}}\left ( 1-d_{i} \right )\frac{N_{i}}{T}+\bar{d}\lambda _{BD}\beta _{BD}T^{\beta -1}\\ | ||
\\ | \\ | ||
=&\frac{13}{4000}+0.002+\left ( 0.7188 \right )\left ( 0.032572 \right )\left ( 0.74715 \right )\left ( 4000 \right )^{0.7472-1}\\ | =&\frac{13}{4000}+0.002+\left ( 0.7188 \right )\left ( 0.032572 \right )\left ( 0.74715 \right )\left ( 4000 \right )^{0.7472-1}\\ | ||
\\ | \\ | ||
=&0.007398 | =&0.007398\\ | ||
\\ | |||
PMTBF=&\frac{1}{\lambda _{p}}\\ | |||
\\ | |||
=&135.17 \; \; \mathrm{hours} | |||
\end{align}\,\!</math> | \end{align}\,\!</math> | ||
*The growth potential MTBF plot: | |||
[[image:IEC 61164 Example 4_Plot.png|center|550px]] | [[image:IEC 61164 Example 4_Plot.png|center|550px]] |
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