Processing Test Data

You can clean up a set of test data before calibration by repairing it to reduce noise, decimating it, shifting its origin to correct for slack or preloading conditions, smooth the curve, and removing any outliers.


In this section:

Smoothing Test Data
Inserting a New Data Point in a Test Data Set
Deleting Individual Outliers from Test Data
Specifying Critical Points in a Test Data Set
Shifting Test Data
Decimating Test Data
Regularizing a Test Data Set
Repairing Test Data
Generating a Time History from a Set of Frequency Domain Test Data