Specifying Critical Points in a Test Data Set

You can identify one or more points in a test data set as critical points that the app should preserve unchanged as you smooth, decidmate, or regularlize the test data.

Specifying points as critical points can be useful for retaining reversal points and sudden discontinuities.

See Also
Test Data Import Overview
About Test Data Processing
  1. From the Calibration Tools section of the action bar, click Calibration Setup .
  2. From the Test data sets section of the Calibration setup dialog box, double-click the name of the test data feature you want to edit.
  3. Click Critical Points.
    The Critical Points options appear above the test data plot.
  4. From the Quantity Type list, select the series for automatic reversal determination.
  5. Select Keep Existing Points to retain previously defined critical points in the new candidate critical point selection.
  6. Click Evaluate to identify candidate critical points from reversals in the series selected in Quantity Type list in step 4, keeping previous reversals if defined in step 5.
    Candidate critical points in the test data are flagged with a check box in the test data table and with green "preview" markers in the test data plot.
  7. Select or clear individual candidate points manually in the test data table.

    Tip: It is not required to use the automatic reversal selection functionality - the user can manually define all desired candidate critical points using the check boxes in the test data table without clicking Evaluate.

  8. Click to commit the current selection of candidate critical points to be defined as critical points.

    Tip: You can also cancel the decimation without making any changes by clicking .

    Candidate critical points are defined as critical points, which are identified with an asterisk (*) next to the data point's index in the test data table, as well as the Critical Points data series in the test data plot.

The app identifies the critical points in the Test Data dialog box.