Nonlinear Profile Monitoring for Oven-Temperature Data
2016
We propose the use of a nonlinear model for modeling the profiles, thereby reducing the profiles to a smaller set of parameter estimates. For this nonlinear model data reduction approach, the parameter estimates and residual variability can then be used..
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