Method and system for predicting process performance using...

Data processing: artificial intelligence – Knowledge processing system

Reexamination Certificate

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C706S021000, C706S023000, C438S017000

Reexamination Certificate

active

07844559

ABSTRACT:
A method for constructing a process performance prediction model for a material processing system, the method including the steps of: recording tool data for a plurality of observations during a process in a process tool, the tool data comprises a plurality of tool data parameters; recording process performance data for the plurality of observations during the process in the process tool, the process performance data comprises one or more process performance parameters; performing a partial least squares analysis using the tool data and the process performance data; and computing correlation data from the partial least squares analysis.

REFERENCES:
patent: 5642296 (1997-06-01), Saxena
patent: 5888414 (1999-03-01), Collins et al.
patent: 5971591 (1999-10-01), Vona et al.
patent: 6183594 (2001-02-01), Nazzal
patent: 6197116 (2001-03-01), Kosugi
patent: 6616759 (2003-09-01), Tanaka et al.
patent: 4-212414 (1992-08-01), None
patent: 8-5542 (1996-01-01), None
patent: 8-246169 (1996-09-01), None
patent: 10-125660 (1998-05-01), None
patent: WO 01/18845 (2001-03-01), None
Nomikos et al., Multi-way partial least squares in monitoring batch processes, 1995.

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