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.
Patent No.:
Date of Patent:
Sep. 18, 2007
Filed:
Mar. 01, 2005
Chang-meng B. Hsiung, Irvine, CA (US);
Bethsabet Munoz, Pasadena, CA (US);
Ajoy Kumar Roy, Pasadena, CA (US);
Michael Gregory Steinthal, Los Angeles, CA (US);
Steven A. Sunshine, Pasadena, CA (US);
Michael Allen Vicic, Pasadena, CA (US);
Shou-hua Zhang, Arcadia, CA (US);
Chang-Meng B. Hsiung, Irvine, CA (US);
Bethsabet Munoz, Pasadena, CA (US);
Ajoy Kumar Roy, Pasadena, CA (US);
Michael Gregory Steinthal, Los Angeles, CA (US);
Steven A. Sunshine, Pasadena, CA (US);
Michael Allen Vicic, Pasadena, CA (US);
Shou-Hua Zhang, Arcadia, CA (US);
Smiths Detection, Inc., Pasadena, CA (US);
Abstract
A system for controlling an industrial process. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters