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Quality and Reliability Methods - SAS

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Chapter 18 <strong>Reliability</strong> Growth 341<br />

Fit Model Options<br />

Show Intensity Plot<br />

The Intensity plot shows the estimated intensity functions for the phases, along with confidence b<strong>and</strong>s.<br />

Since the intensity functions are computed based only on the data within a phase, they are discontinuous at<br />

phase transitions. Color coding facilitates differentiation of phases. For further details, see “Show Intensity<br />

Plot” on page 331.<br />

Show Cumulative Events Plot<br />

The Cumulative Events plot for the Reinitialized Weibull NHPP model portrays the estimated cumulative<br />

number of events, with confidence bounds, over the design phases in the following way. Let t represent the<br />

time since the first phase of testing began. The model for the phase in effect at time t is evaluated at time t.<br />

In particular, the model for the phase in effect is not evaluated at the time since the beginning of the specific<br />

phase; rather it is evaluated at the time since the beginning of the first phase of testing.<br />

At phase transitions, the cumulative events functions will be discontinuous. The Cumulative Events plot<br />

matches the estimated cumulative number of events at the beginning of one phase to the cumulative<br />

number at the end of the previous phase. This matching allows the user to compare the observed cumulative<br />

events to the estimated cumulative events functions. Color coding facilitates differentiation of phases.<br />

Show Profilers<br />

Three profilers are displayed, showing estimated MTBF, Failure Intensity, <strong>and</strong> Cumulative Events. Note<br />

that the Cumulative Events Profiler is constructed as described in the Cumulative Events Plot section. In<br />

particular, the cumulative number of events at the beginning of one phase is matched to the number at the<br />

end of the previous phase. For further details, see “Show Profilers” on page 338<br />

Piecewise Weibull NHPP Change Point Detection<br />

The Piecewise Weibull NHPP Change Point Detection option attempts to find a time point where the<br />

reliability model changes. This may be useful if you suspect that a change in reliability growth has occurred<br />

over the testing period. Note that detection only seeks a single change point, corresponding to two potential<br />

phases.<br />

This option is available only when:<br />

• a single column has been entered as Time to Event or Timestamp in the launch window (indicating that<br />

failure times are exact), <strong>and</strong><br />

• a Phase has not been entered in the launch window<br />

When the Piecewise Weibull NHPP Change Point Detection option is selected, the estimated model plot<br />

<strong>and</strong> confidence b<strong>and</strong>s are added to the Cumulative Events report under Observed Data. The Model List<br />

updates, giving statistics that are conditioned on the estimated change point. Under Models, a Piecewise<br />

Weibull NHPP Change Point Detection report is provided.<br />

The default Piecewise Weibull NHPP Change Point Detection report shows the MTBF plot <strong>and</strong> Estimates.<br />

(See Figure 18.20, which uses the data in Brake<strong>Reliability</strong>.jmp, found in the <strong>Reliability</strong> subfolder.) Note that<br />

the Change Point, shown at the bottom of the Estimates report, is estimated as 12/21/2011. The st<strong>and</strong>ard

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