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:
Mar. 12, 2019

Filed:

Nov. 22, 2013
Applicant:

National Ict Australia Limited, Eveleigh, NSW, AU;

Inventors:

Fang Chen, Eveleigh, AU;

Matt Zhang, Eveleigh, AU;

Zhidong Li, Eveleigh, AU;

Yang Wang, Eveleigh, AU;

Assignee:

NATIONAL ICT AUSTRALIA LIMITED, Eveleigh, New South Wales, AU;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01M 5/00 (2006.01); G01H 13/00 (2006.01); G01H 1/00 (2006.01); G01M 7/02 (2006.01); G01M 7/00 (2006.01);
U.S. Cl.
CPC ...
G01H 13/00 (2013.01); G01H 1/00 (2013.01); G01M 5/0008 (2013.01); G01M 5/0033 (2013.01); G01M 5/0066 (2013.01); G01M 7/00 (2013.01); G01M 7/025 (2013.01);
Abstract

The disclosure relates to structural health monitoring (SHM). In particular determining a health condition of a structure, such as a bridge, based on vibration data measured of the bridge. Measured vibration data is calibrated (-). Features are then extracted from the calibrated data (-) and a support vector machine classifier is then applied () to the extracted features to determine () the health condition of a part of the structure. Training of the support vector machine classifier by a machine learning process () is also described.


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