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. 06, 2015

Filed:

May. 16, 2012
Applicant:

Robert Brady Benware, Clackamas, OR (US);

Inventor:

Robert Brady Benware, Clackamas, OR (US);

Assignee:

Mentor Graphics Corporation, Wilsonville, OR (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G01R 31/28 (2006.01); G06F 17/50 (2006.01); G01R 31/00 (2006.01); G06K 9/03 (2006.01); G01R 31/3185 (2006.01); G01R 31/3183 (2006.01); H01L 21/66 (2006.01); H01L 27/118 (2006.01);
U.S. Cl.
CPC ...
G01R 31/318544 (2013.01); G01R 31/318307 (2013.01); G01R 31/3183 (2013.01); G01R 31/2836 (2013.01); H01L 22/30 (2013.01); H01L 22/12 (2013.01); G01R 31/318511 (2013.01); H01L 2027/11864 (2013.01); G01R 31/318342 (2013.01); G06F 17/5068 (2013.01); H01L 2027/11874 (2013.01); G06F 17/5081 (2013.01); H01L 2924/37001 (2013.01); H01L 22/14 (2013.01); H01L 22/20 (2013.01);
Abstract

Aspects of the invention relate to yield analysis techniques for generating root cause distribution information. Suspect information for a plurality of failing dies is first generated using a layout-aware diagnosis method. Based on the suspect information, potential root causes for the plurality of failing dies, and suspect feature weights and total feature weights for each of the potential root causes may then be determined. Next, the probability information of observing a particular suspect that is related to a particular root cause may be extracted. Finally, an expectation-maximization analysis may be conducted for generating the root cause distribution information based on the probability information and the suspect information. Heuristic information may be used to prevent the analysis from over-fitting.


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