System for indirectly monitoring and controlling a process with

Adhesive bonding and miscellaneous chemical manufacture – Differential fluid etching apparatus – With microwave gas energizing means

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

1566261, 1566431, 1566461, 216 58, 216 60, 216 67, H01L 2166

Patent

active

057118434

ABSTRACT:
The invention enables real-time control of a process using information regarding process properties that are indirectly related to the state of the process. A set of properties that characterize the process environment (fingerprint) is measured and used by a process results estimator to infer information regarding the state of the process and by a process condition monitor for monitoring the process to ascertain whether a particular type of condition exists. In one embodiment, optical emission spectra (OES) are used as the fingerprint. The process results estimator is sufficiently powerful to enable the process state to be inferred even when the relationship between the process environmental properties and the process state is complicated and difficult to describe with traditional mathematical models. In one embodiment, the process results estimator is embodied by a neural network. The process condition monitor can also be embodied by a neural network. Because the invention does not directly measure the process state, the invention is particularly useful in situations in which it is difficult or undesirable to directly determine the state of the process during the process such as monitoring and control of a plasma process such as plasma etching.

REFERENCES:
patent: 4861419 (1989-08-01), Flinchbaugh et al.
patent: 5014217 (1991-05-01), Savage
patent: 5326975 (1994-07-01), Barna
patent: 5362356 (1994-11-01), Schoenborn
patent: 5467883 (1995-11-01), Frye et al.
A. Stubberud et al., "Improved Nonlinear System Identification Using Neural Networks", Proc. of the 7th International Conference on Neural Networks and Their Applications, Dec. 1994, pp. 49-57.
P. Simpson, "Fuzzy Min-Max Neural Networks--Part 1: Classification", IEEE Trans. on Neural Networks, vol. 3, No. 5, Sep. 1992, pp. 776-786.
P. Simpson, "Fuzzy Min-Max Neural Networks--Part 2: Clustering", IEEE Trans. on Fuzzy Systems, vol. 1, No. 1, Feb. 1993, pp. 32-45.
C. Himmel et al., "Advantages of Plasma Etch Modeling Using Neural Networks Over Statistical Techniques", IEEE Trans. on Semiconductor Manufacturing, vol. 6, No. 2, May 1993, pp. 103-111.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

System for indirectly monitoring and controlling a process with does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System for indirectly monitoring and controlling a process with , we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System for indirectly monitoring and controlling a process with will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-338973

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.