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Quality and Reliability Methods - SAS

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Chapter 18 <strong>Reliability</strong> Growth 345<br />

Additional Examples of the <strong>Reliability</strong> Growth Platform<br />

Piecewise Weibull NHP Change Point Detection with Time in Dates Format<br />

The file Brake<strong>Reliability</strong>.jmp, found in the <strong>Reliability</strong> subfolder, contains data on fixes to a braking system.<br />

The Date column gives the dates when Fixes, given in the second column, were implemented. For this data,<br />

the failure times are known. Note that the Date column must be in ascending order.<br />

The test start time is the first entry in the Date column, 09/29/2011, <strong>and</strong> the corresponding value for Fixes<br />

is set at 0. This is needed in order to convey the start time for testing. Had there been a non-zero value for<br />

Fixes in this first row, the corresponding date would have been treated as the test start time, but the value of<br />

Fixes would have been treated as 0 in the analysis.<br />

The test termination time is given in the last row as 05/31/2012. Since the value in Fixes in the last row is<br />

0, the test is considered to be time terminated on 5/31/2012. Had there been a non-zero value for Fixes in<br />

this last row, the test would have been considered failure terminated.<br />

1. Open the Brake<strong>Reliability</strong>.jmp sample data table.<br />

2. Select Analyze > <strong>Reliability</strong> <strong>and</strong> Survival > <strong>Reliability</strong> Growth.<br />

3. Select the Dates Format tab.<br />

4. Select Date <strong>and</strong> click Timestamp.<br />

5. Select Fixes <strong>and</strong> click Event Count.<br />

6. Click OK.<br />

7. From the red triangle menu at <strong>Reliability</strong> Growth, select Fit Model > Crow AMSAA.<br />

The Cumulative Events plot in the Observed Data report updates to show the model (Figure 18.23). The<br />

model does not seem to fit the data very well.

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