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:
May. 13, 2025

Filed:

Nov. 04, 2022
Applicant:

Southwest Jiaotong University, Chengdu, CN;

Inventors:

Zefeng Wen, Chengdu, CN;

Xiaolong Liu, Chengdu, CN;

Xinbiao Xiao, Chengdu, CN;

Shulin Liang, Chengdu, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B61L 23/04 (2006.01); B61K 9/10 (2006.01); G01N 29/265 (2006.01); G06F 18/214 (2023.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
B61L 23/045 (2013.01); G06F 18/214 (2023.01); G06N 20/10 (2019.01); B61K 9/10 (2013.01); G01N 29/265 (2013.01); G01N 2291/044 (2013.01); G01N 2291/2623 (2013.01);
Abstract

The present disclosure discloses a rail corrugation recognition method and apparatus based on a support vector machine, a device, and a medium. The method includes: obtaining wheel-rail noise signals in different time periods, and obtaining wheel-rail noise time domain information; dividing the wheel-rail noise time domain information into segmented wheel-rail noise time domain information corresponding to each of the different time periods; preprocessing each piece of segmented wheel-rail noise time domain information, and extracting a time domain statistical characteristic quantity and frequency domain eigenmode energy of each piece of segmented wheel-rail noise time domain information, to obtain a multi-dimensional wheel-rail noise characteristic vector; constructing a rail corrugation state recognition model based on a support vector machine, and training the rail corrugation state recognition model; and recognizing to-be-recognized wheel-rail noise data by using the rail corrugation state recognition model based on a support vector machine, to obtain a rail corrugation state.


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