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:
Aug. 17, 2004

Filed:

Jul. 31, 2002
Applicant:
Inventors:

Jin Wang, Austin, TX (US);

Elfido Coss, Jr., Austin, TX (US);

Brian K. Cusson, Austin, TX (US);

Alexander J. Pasadyn, Austin, TX (US);

Michael L. Miller, Cedar Park, TX (US);

Naomi M. Jenkins, Round Rock, TX (US);

Christopher A. Bode, Austin, TX (US);

Assignee:

Advanced Micro Devices, Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 1/900 ;
U.S. Cl.
CPC ...
G06F 1/900 ;
Abstract

A method and apparatus is provided for identifying a cause of a fault based on controller output. The method comprises processing at least one workpiece under a direction of the controller and detecting a fault associated with the processing of the at least one workpiece. The method further includes determining a plurality of possible causes of the detected fault, identifying a more likely possible cause out of the plurality of possible causes, providing fault information associated with the identified more likely possible cause to the controller. The method further includes providing fault information associated with the identified more likely possible cause to the controller. The method further comprises adjusting the processing of one or more workpieces to be processed next based on the fault information provided to the controller. The method further includes generating prediction data associated with processing of the next workpieces, and comparing the prediction data to processing data associated with the processing of the next workpieces to identify a possible cause of the fault.


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