Patent ID: 8078434

Claim:
A method for online monitoring of batch processes, comprising the steps of: building a plurality of multivariate statistical models (MSMs) using archived batch process data (ABPD) for a batch process comprising stored batch process data (BPD) for at least one batch process parameter (BPP) obtained during a plurality of different times during a duration of a plurality of runs of said batch process; initiating a current run of said batch process; collecting current batch process data (CBPD) for at least said BPP during said plurality of different times up to a current time for said current run that is less than a duration for said current run; and using a processor for: (i) building a feature vector matrix using said CBPD, said feature vector matrix comprising a plurality of feature vectors representing statistical measures of wavelet coefficients determined at said plurality of different times up to said current time for a plurality of variables; (ii) forming a projection by projecting said plurality of feature vectors onto at least one MSM of said plurality of MSMs or a combined multivariate statistical model (CMSM); and (iii) generating at least one estimated value for said BPP at a time after said current time during a duration of said current run using information provided by said projection.