Crow-AMSAA Discrete Model Example: Difference between revisions
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Estimated Failure Probability and Reliability by Configuration
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The objectives are: | The objectives are: | ||
:1) Estimate the parameters of the Crow-AMSAA model using maximum likelihood estimation. | :1) Estimate the parameters of the Crow-AMSAA model using maximum likelihood estimation. | ||
:2) Estimate the unreliability and reliability by configuration. | :2) Estimate the unreliability and reliability by configuration. | ||
'''Solution''' | '''Solution''' | ||
:1) The solution from the [[Crow-AMSAA (NHPP)#Maximum_Likelihood_Estimators_for_Discrete_Model|MLE equations for discrete models]] yield <math>\lambda = 0.5954\,\!</math> and <math>\beta =0.7801\,\!</math>. | :1) The solution from the [[Crow-AMSAA (NHPP)#Maximum_Likelihood_Estimators_for_Discrete_Model|MLE equations for discrete models]] yield <math>\lambda = 0.5954\,\!</math> and <math>\beta =0.7801\,\!</math>. | ||
:2) The following table displays the results for probability of failure and reliability, and these results are displayed in the next two plots. | :2) The following table displays the results for probability of failure and reliability, and these results are displayed in the next two plots. | ||
<center>'''Estimated Failure Probability and Reliability by Configuration'''</center> | <center>'''Estimated Failure Probability and Reliability by Configuration'''</center> |
Revision as of 17:43, 27 January 2014
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This example appears in the Reliability Growth and Repairable System Analysis Reference book.
A one-shot system underwent reliability growth development testing for a total of 68 trials. Delayed corrective actions were incorporated after the 14th, 33rd and 48th trials. From trial 49 to trial 68, the configuration was not changed.
- Configuration 1 experienced 5 failures,
- Configuration 2 experienced 3 failures,
- Configuration 3 experienced 4 failures and
- Configuration 4 experienced 4 failures.
The objectives are:
- 1) Estimate the parameters of the Crow-AMSAA model using maximum likelihood estimation.
- 2) Estimate the unreliability and reliability by configuration.
Solution
- 1) The solution from the MLE equations for discrete models yield [math]\displaystyle{ \lambda = 0.5954\,\! }[/math] and [math]\displaystyle{ \beta =0.7801\,\! }[/math].
- 2) The following table displays the results for probability of failure and reliability, and these results are displayed in the next two plots.
Configuration([math]\displaystyle{ i\,\! }[/math]) | Estimated Failure Probability | Estimated Reliability |
---|---|---|
1 | 0.333 | 0.667 |
2 | 0.234 | 0.766 |
3 | 0.206 | 0.794 |
4 | 0.190 | 0.810 |