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:
Jul. 10, 2018

Filed:

Dec. 03, 2015
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Lucia Mirabella, Plainsboro, NJ (US);

Sanjeev Srivastava, Princeton, NJ (US);

Erhan Arisoy, Pittsburgh, PA (US);

Suraj Ravi Musuvathy, Glenmont, NY (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30345 (2013.01); G06F 17/50 (2013.01); G06F 2217/10 (2013.01);
Abstract

A computer-implemented method for ranking design parameter significance includes a computer receiving an input dataset representative of a physical object. This input dataset includes a baseline parameters and associated probabilities. The computer also receives performance requirements. For each respective baseline parameter, the computer performs an analysis process. During this analysis process, a range of parameter values are selected for the respective baseline parameter based on its corresponding probability distribution. The range of parameter values are segmented into parameter subsets and multiple instances of a simulation are executed using the performance requirements to yield snapshots. A Proper Orthogonal Decomposition (POD) basis is derived using the snapshots. A sensitivity analysis is performed based on the POD basis to yield a sensitivity measurement representative of an effect of variation of the respective parameter on the performance requirements. The computer may then generate a ranking of the baseline parameters according to their corresponding sensitivity measurements.


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