Test-Fix-Test Data Reference Example: Difference between revisions
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{{Reference Example| | {{Reference Example|{{Banner RGA Reference_Examples}}|Test-Fix-Test Data}} | ||
This example validates the results for test-fix-test data (time terminated) in RGA. | |||
This example | |||
Line 7: | Line 6: | ||
Crow, L.H., ''Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth'', U.S. Army Material Systems Analysis Activity, 1981. | Crow, L.H., ''Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth'', U.S. Army Material Systems Analysis Activity, 1981. | ||
For this example, the following will be calculated: | |||
*Parameters of the Crow-AMSAA (NHPP) model | |||
*Demonstrated MTBF (DMTBF) | |||
*80% two-sided confidence bounds on the DMTBF | |||
{{Reference_Example_Heading2}} | {{Reference_Example_Heading2}} | ||
The following table shows the data. | |||
{| {{table|12%}} | |||
|- | |||
| 0.2 | |||
|- | |||
| 4.2 | |||
|- | |||
| 4.5 | |||
|- | |||
| 5 | |||
|- | |||
| 5.4 | |||
|- | |||
| 6.1 | |||
|- | |||
| 7.9 | |||
|- | |||
| 14.8 | |||
|- | |||
| 19.2 | |||
|- | |||
| 48.6 | |||
|- | |||
| 85.8 | |||
|- | |||
| 108.9 | |||
|- | |||
| 127.2 | |||
|- | |||
| 129.8 | |||
|- | |||
| 150.1 | |||
|- | |||
| 159.7 | |||
|- | |||
| 227.4 | |||
|- | |||
| 244.7 | |||
|- | |||
| 262.7 | |||
|- | |||
| 315.3 | |||
|- | |||
| 329.6 | |||
|- | |||
| 404.3 | |||
|- | |||
| 486.2 | |||
|- | |||
|+'''Termination Time = 500 hours''' | |||
|} | |||
{{Reference_Example_Heading3}} | {{Reference_Example_Heading3}} | ||
The book has the following results: | |||
*Beta = 0.413, Lambda = 1.769 | |||
*DMTBF = 52.7 | |||
*Confidence Bounds on DMTBF (CL = 80%) = (35.6, 82.9) | |||
{{Reference_Example_Heading4|RGA}} | |||
In RGA, the Crow-AMSAA (NHPP) model with the maximum likelihood estimation (MLE) method was used to calculate the results. The following equations are used to calculate <math>\beta\,\!</math> and <math>\lambda\,\!</math>. | |||
::<math>\begin{align} | |||
\hat{\beta }=&\frac{N}{N\ln T^{*}-\underset{i=1}{\overset{N}{\mathop \sum }}\,T_{i}}\\ | |||
\\ | |||
=&\frac{23}{{23\cdot \ln \left ( 500 \right )}-87.2106}\\ | |||
\\ | |||
=&0.4127 | |||
\end{align}\,\!</math> | |||
::<math>\begin{align} | |||
\hat{\lambda }=&\frac{N}{T^{*\beta }}\\ | |||
\\ | |||
=&\frac{23}{500^{0.4127}}\\ | |||
\\ | |||
=&1.7691 | |||
\end{align}\,\!</math> | |||
*The model parameters are: | |||
[[image:CB for Weibull_Results.png|center]] | [[image:CB for Weibull_Results.png|center]] | ||
*The instantaneous MTBF and its two-sided 80% confidence bounds are: | |||
[[image:CB for Weibull_QPC.png|center]] | [[image:CB for Weibull_QPC.png|center]] |
Latest revision as of 18:26, 28 September 2015
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