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| ====Parametric RDA Example====
| | #REDIRECT[[Example:_Parametric_RDA_-_Air_Condition_Unit]] |
| The following table gives the failure times of the air-condition unit of an aircraft. The observation is ended by the time of the last failure [3].
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| <center><math>\begin{matrix}
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| \text{50} & \text{329} & \text{811} & \text{991} & \text{1489} \\
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| \text{94} & \text{332} & \text{899} & \text{1013} & \text{1512} \\
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| \text{196} & \text{347} & \text{945} & \text{1152} & \text{1525} \\
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| \text{268} & \text{544} & \text{950} & \text{1362} & \text{1539} \\
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| \text{290} & \text{732} & \text{955} & \text{1459} & {} \\
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| \end{matrix}</math></center>
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| :1. Estimate the GRP model parameters using the Type I virtual age option.
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| :2. Plot the failure number and instantaneous failure intensity vs. time with 90% two-sided confidence bounds.
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| :3. Plot the conditional reliability vs. time with 90% two-sided confidence bounds. The mission start time is 40 and mission time is varying.
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| :4. Using the QCP, calculate the expected failure number and expected instantaneous failure intensity by time 1800. | |
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| =====Solution=====
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| Enter the data into a Parametric RDA Specialized Folio in Weibull++. Choose 3 under Parameters and Type I under Settings. Keep the default simulation settings.
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| :1. The estimated parameters are <math>\hat{\beta }=1.1976,</math> <math>\hat{\lambda }=4.94E-03,</math> <math>\hat{q}=0.1344</math> .
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| :2. The failure number and instantaneous failure intensity are given in the following plots.
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| [[Image:lda18.1.gif|thumb|center|400px| ]]
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| [[Image:lda18.2.gif|thumb|center|400px| ]]
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| :3. The conditional reliability is plotted below.
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| [[Image:lda18.3.gif|thumb|center|400px| ]]
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| :4. Using QCP, the failure number and instantaneous failure intensity are:
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| <br>
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