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Quality and Reliability Methods - SAS

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292 Degradation Chapter 16<br />

Prediction Graph<br />

Set Censoring Time<br />

is used to set the censoring time.<br />

Use Interpolation through Data uses linear interpolation between points (instead of the fitted model) to<br />

predict when a unit crosses the spec limit. The behavior depends on whether a unit has observations<br />

exceeding the spec limit as follows:<br />

– If a unit has observations exceeding the spec limit, the inverse prediction is the linear interpolation<br />

between the observations that surround the spec limit.<br />

– If a unit does not have observations exceeding the spec limit, the inverse prediction is censored <strong>and</strong><br />

has a value equal to the maximum observed time for that unit.<br />

Inverse Prediction Interval is used to show confidence or prediction intervals for the pseudo failure<br />

times on the Inverse Prediction plot. When intervals are enabled, the intervals are also included in the<br />

data table that is created when using the Save Crossing Time option.<br />

Inverse Prediction Alpha<br />

Inverse Prediction Side<br />

is used to specify the alpha level used for the intervals.<br />

is used to specify one or two sided intervals.<br />

Prediction Graph<br />

Use the Prediction Graph tab to predict the Y variable for a specified Time value. Figure 16.16 shows the<br />

Prediction Plot tab.<br />

Figure 16.16 Prediction Plot Tab<br />

For the GaAs Laser example, no data was collected after 4000 hours. If you want to predict the percent<br />

increase in operating current after 5000 hours, enter 5000 <strong>and</strong> click Go. A plot is produced showing the<br />

estimated percent decrease after 5000 hours for all the units. See Figure 16.17.

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