CORA and ISO-18571
Use the CORA and ISO-18571 functions to calculate the correlation metric between test and CAE data.
The following set of methods can be used to find correlation metrics in the form of notes using different correlation algorithms. Specifically, the CORA and ISO-18571 functions calculate the correlation metric between test and CAE data.
Multiple pairs of curves can be simultaneously correlated, meaning that various reference curves and various comparison curves can be evaluated at a single command.
CORA
The Correlation Analysis (CORA) calculates correlation metrics between CAE and Test Data signals in the form of time history. The metrics for both corridor and cross correlation are included, which are calculated independently and then combined to give a comprehensive error. The error calculation can be biased towards either the measured time history (Test) or the computed (CAE) time history, with the former being most common.
CORA-CORRIDOR
The Corridor method (CR) calculates correlation between two signals by means of corridor fitting. The error calculation can be biased towards either the measured time history (Test) or the computed (CAE) time history, with the former being most common.
CORA-CROSS CORRELATION
The cross-correlation method (CRCR) calculates correlation between two signals by calculating phase shift, size, and progression. The weighted sum of these three values gives the total cross-correlation rating.
ISO-18571
The ISO metric combines different types of algorithms to produce a reliable and robust assessment between CAE and Test Data signals in the form of time history. Included are corridor, phase, magnitude, and slope, which are calculated independently and then combined to give an overall ISO rating. The error calculation can be biased towards either the measured time history (Test) or the computed (CAE) time history, with the former being most common.