Repairable Systems Analysis Reference Example: Difference between revisions
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{{Reference Example| | {{Reference Example|{{Banner RGA Reference_Examples}}|Repairable Systems Analysis}} | ||
This example validates the results for a repairable systems analysis in RGA. | |||
This example | |||
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Crow, L.H., ''Reliability Analysis for Complex Repairable Systems'', Reliability and Biometry: Statistical Analysis of Lifelength, pg. 385, 1974. | Crow, L.H., ''Reliability Analysis for Complex Repairable Systems'', Reliability and Biometry: Statistical Analysis of Lifelength, pg. 385, 1974. | ||
For this example, the Power Law model parameters will be calculated. | |||
{{Reference_Example_Heading2}} | {{Reference_Example_Heading2}} | ||
{| {{table}} | The following table shows the data. | ||
{| {{table|25%}} | |||
!System 1 | !System 1 | ||
!System 2 | !System 2 | ||
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| ||190.8|| | | ||190.8|| | ||
|- | |- | ||
|+'''Simulated Data for 3 Systems with End Time = 200 hours''' | |||
|} | |} | ||
{{Reference_Example_Heading3}} | {{Reference_Example_Heading3}} | ||
The book has the following results: | |||
Beta = 0.615, Lambda = 0.461 | Beta = 0.615, Lambda = 0.461 | ||
{{Reference_Example_Heading4| | {{Reference_Example_Heading4|RGA}} | ||
Since <math>\,\!S_{1}=S_{2}=S_{3}=0</math> and <math>\,\!T_{1}=T_{2}=T_{3}=200</math> then the maximum likelihood estimates of <math>\,\!\hat{\beta}</math> and <math>\,\!\hat{\lambda }</math> are given by: | |||
::<math>\begin{align} | |||
\hat{\beta} =&\frac{\underset{q=1}{\overset{K}{\mathop \sum }}N_{q}}{\underset{q=1}{\overset{K}{\mathop \sum }}\,\underset{i=1}{\overset{N_{q}}{\mathop \sum }}\ln \left ( \frac{T}{X_{iq}} \right )}\\ | |||
\\ | |||
=&0.6153 | |||
\end{align}\,\!</math> | |||
::<math>\begin{align} | |||
\hat{\lambda }=&\frac{{\underset{q=1}{\overset{K}{\mathop \sum }}N_{q}}}{KT^{\hat{\beta }}}\\ | |||
\\ | |||
=&0.4605 | |||
\end{align}\,\!</math> | |||
The model parameters are: | |||
: | [[image:Repairable SystemS SIAM_Results.png|center]] |
Latest revision as of 18:26, 28 September 2015
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