After importing data, the first step is typically a statistical analysis in 3D to understand the variation magnitudes and patterns of the model performance. oSP3D provides visualization of properties describing the variation. These statistical quantities include:
Variation patterns
Nonlinear sensitivity analysis
Mean, variance, and standard deviation
Linear correlations
Standard errors
Quantile values and exceedance probabilities (68-95-99 rule)
Probability of being the maximum or minimum
Minimum, maximum, and ranges
Standard errors of the mean and standard deviation
Cp and Cpk quality capability values
Robust Principal Component Analysis (RPCA) modes and outliers
This image shows a 3D plot of a standard deviation of a temperature field:
This image shows a traffic light plot to highlight critical regions:
