The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2025

Filed:

Feb. 28, 2022
Applicant:

Ebara Corporation, Tokyo, JP;

Inventors:

Jumpei Fujikata, Tokyo, JP;

Yuji Araki, Tokyo, JP;

Tensei Sato, Tokyo, JP;

Ryuya Koizumi, Tokyo, JP;

Assignee:

EBARA CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H01L 21/67 (2006.01); C25D 3/12 (2006.01); G05B 19/05 (2006.01); G05B 19/418 (2006.01); G05B 23/02 (2006.01); H01L 21/677 (2006.01); H01L 21/687 (2006.01); C25D 17/00 (2006.01); C25D 17/02 (2006.01); C25D 17/10 (2006.01); C25D 21/06 (2006.01); C25D 21/10 (2006.01); C25D 21/12 (2006.01);
U.S. Cl.
CPC ...
H01L 21/67276 (2013.01); C25D 3/12 (2013.01); G05B 19/058 (2013.01); G05B 19/41875 (2013.01); G05B 23/02 (2013.01); G05B 23/0283 (2013.01); H01L 21/67057 (2013.01); H01L 21/67086 (2013.01); H01L 21/67242 (2013.01); H01L 21/67288 (2013.01); H01L 21/67751 (2013.01); H01L 21/68707 (2013.01); C25D 17/001 (2013.01); C25D 17/02 (2013.01); C25D 17/10 (2013.01); C25D 21/06 (2013.01); C25D 21/10 (2013.01); C25D 21/12 (2013.01); G05B 2219/2602 (2013.01);
Abstract

A semiconductor manufacturing apparatus including: a first device; a first calculation circuit that calculates one or more feature quantities of the first device from detected physical quantities; and a failure prediction circuit that determines a portion of model data with a minimum deviation between the measured feature quantities vector comprising the measured one or more feature quantities and a feature quantities vector comprising one or more feature quantities at each time in the plurality of pieces of model data, and calculates a predicted time until failure from a difference between the failure time point in the determined piece of model data and a point in time in the determined piece of model data at which the deviation between the measured feature quantities vector and the feature quantities vector at each time of the plurality of portions of model data is the minimum; and stops the receiving of a new substrate to prevent an introduction of defects on the new substrate.


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