Patent ID: 7359830

Claim:
A method for automatic on-line calibration of a process model for real-time prediction of process quality from raw process measurements which method comprises: a) collecting raw process data; b) processing data collected in step a) through the process model to obtain a prediction of the process quality; c) processing this prediction through two dynamic transfer functions thus creating two intermediate signals; d) storing the two intermediate signals obtained in step c) as a function of time; e) retrieving at the time of a real and validated measurement of the process quality from the history the absolute minimum value and maximum value of the two intermediate signals in the time period corresponding to a minimum and maximum specified deadtime, in which the absolute minimum value and maximum value define the minimum and maximum prediction possible; f) calculating the deviation as being the difference between the real and validated measurement and the uncertainty area encompassed between the minimum and maximum prediction possible as obtained in step e); g) proceeding with step i) if the absolute value of the deviation obtained in step f) is zero, or, proceeding with step h) if the absolute value of the deviation obtained in step f) is larger than zero; h) incorporating the deviation into the process model to calibrate the process model; and, i) starting over at step a).