公开(公告)号：US20180224817A1

公开(公告)日：2018-08-09

申请号：US15427279

申请日：2017-02-08

Applicant: UNITED MICROELECTRONICS CORP.

Inventor： Lian-Hua Shih ,  Chia-Chi Chang ,  Li-Ting Lin ,  Ching-Hsing Hsieh ,  Feng-Chi Chung ,  Meng-Chih Chang ,  Ming-Tung Wang ,  Chiu-Ping Chang ,  Yung-Yu Yang

IPC: G05B19/048 ,  G06F17/30 ,  G05B17/02

CPC classification number: G05B23/024

Abstract: A method of monitoring a processing system for processing a substrate is provided. The method includes the following steps: acquiring data from the processing system for a plurality of parameters, the data including a plurality of data values; grouping the parameters into a plurality of sub-groups, each of the sub-groups including a plurality of correlated parameters; constructing a principle components analysis (PCA) model from the data values for the correlated parameters in a first one of the sub-groups, including normalizing the data values in the first one of the sub-groups with a first weighting factor and a second weighting factor, wherein the first weighting factor is different from the second weighting factor; and determining a statistical quantity using the PCA model.

公开(公告)号：US10606253B2

公开(公告)日：2020-03-31

申请号：US15427279

申请日：2017-02-08

Applicant: UNITED MICROELECTRONICS CORP.

Inventor： Lian-Hua Shih ,  Chia-Chi Chang ,  Li-Ting Lin ,  Ching-Hsing Hsieh ,  Feng-Chi Chung ,  Meng-Chih Chang ,  Ming-Tung Wang ,  Chiu-Ping Chang ,  Yung-Yu Yang

IPC: G05B23/02

Abstract: A method of monitoring a processing system for processing a substrate is provided. The method includes the following steps: acquiring data from the processing system for a plurality of parameters, the data including a plurality of data values; grouping the parameters into a plurality of sub-groups, each of the sub-groups including a plurality of correlated parameters; constructing a principle components analysis (PCA) model from the data values for the correlated parameters in a first one of the sub-groups, including normalizing the data values in the first one of the sub-groups with a first weighting factor and a second weighting factor, wherein the first weighting factor is different from the second weighting factor; and determining a statistical quantity using the PCA model.