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:
Dec. 10, 2019

Filed:

Jun. 11, 2011
Applicants:

Vaibhav D. Donde, Cary, NC (US);

Ernst Scholtz, Houston, TX (US);

Mats Larsson, Baden-Dättwil, CH;

Yan Zhang, Baden, CH;

Mani Subramanian, Sugar Land, TX (US);

John Finney, Zürich, CH;

Inventors:

Vaibhav D. Donde, Cary, NC (US);

Ernst Scholtz, Houston, TX (US);

Mats Larsson, Baden-Dättwil, CH;

Yan Zhang, Baden, CH;

Mani Subramanian, Sugar Land, TX (US);

John Finney, Zürich, CH;

Assignee:

ABB Schweiz AG, Baden, CH;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/10 (2006.01); G06F 17/50 (2006.01); H02J 3/00 (2006.01);
U.S. Cl.
CPC ...
G06F 17/50 (2013.01); G06F 17/10 (2013.01); H02J 3/00 (2013.01); H02J 2003/007 (2013.01); Y02E 60/76 (2013.01); Y04S 40/22 (2013.01);
Abstract

Methods for detecting network model data errors are disclosed. In some examples, methods for detecting network model data errors may include splitting a network model into a first plurality of portions, executing an algorithm on each of the portions, identifying a portion for which the algorithm is determined to be non-converged, splitting the identified portion into a second plurality of portions, repeating the executing, identifying and splitting the identified portion until a resulting identified portion is smaller than a predefined threshold, and examining the resulting identified portion to identify plausible data errors therein. In some examples, examining the resulting identified portion to identify plausible data errors therein may include executing a modified algorithm, which may include an augmented measurement set, on the identified portion.


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