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. 07, 2020

Filed:

Nov. 24, 2015
Applicant:

Hefei University of Technology, Anhui, CN;

Inventors:

Lifen Yuan, Anhui, CN;

Shuai Luo, Anhui, CN;

Yigang He, Anhui, CN;

Peng Chen, Anhui, CN;

Chaolong Zhang, Anhui, CN;

Ying Long, Anhui, CN;

Zhen Cheng, Anhui, CN;

Zhijie Yuan, Anhui, CN;

Deqin Zhao, Anhui, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G01R 31/316 (2006.01); G06K 9/00 (2006.01); G06K 9/03 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6269 (2013.01); G01R 31/316 (2013.01); G06K 9/00523 (2013.01); G06K 9/00536 (2013.01); G06K 9/03 (2013.01); G06K 9/6247 (2013.01); G06K 9/6256 (2013.01); G06K 9/6284 (2013.01);
Abstract

An analog circuit fault mode classification method comprises the following implementation steps: (1) collecting M groups of voltage signal sample vectors Vto each of fault modes Fof the analog circuit by using a data collection board; (2) sequentially extracting fault characteristic vectors Vof the voltage signal sample vectors Vby using subspace projection; (3) standardizing the extracted fault characteristic vectors Vto obtain standardized fault characteristic vectors; (4) constructing a fault mode classifier based on a support vector machine, inputting the standardized fault characteristic vectors, performing learning and training on the classifier, and determining structure parameters of the classifier; and (5) completing determination of fault modes according to fault mode determination rules. The fault mode classifier of the present invention is simple in learning and training and reliable in mode classification accuracy.


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