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. 27, 2025

Filed:

Nov. 02, 2021
Applicant:

Hangzhou Zheda Jingyi Electromechanical Technology Corporation Limited, Hangzhou, CN;

Inventors:

Weixu Liu, Hangzhou, CN;

Zhifeng Tang, Hangzhou, CN;

Xiang Zhao, Hangzhou, CN;

Pengfei Zhang, Hangzhou, CN;

Fuzai Lv, Hangzhou, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 29/12 (2006.01); B61K 9/10 (2006.01); G01N 29/44 (2006.01);
U.S. Cl.
CPC ...
G01N 29/12 (2013.01); B61K 9/10 (2013.01); G01N 29/4472 (2013.01); G01N 2291/023 (2013.01); G01N 2291/0289 (2013.01); G01N 2291/2623 (2013.01);
Abstract

A method for monitoring a service state of a switch rail based on feature fusion includes: mounting an ultrasonic guided wave monitoring apparatus on the switch rail to perform online defect identification and simulation of the switch rail, and establishing a baseline signal library, where the ultrasonic guided wave monitoring apparatus generates a guided wave signal propagating along the switch rail and receives an echo signal of the guided wave signal; performing feature extraction; extracting a healthy feature vector, and nondimensionalizing; selecting a defect-sensitive feature, and acquiring, by a BPSO algorithm, a best feature subset; training an LS-SVM through the best feature subset by a cross-validation method to acquire an automatic online defect identification model of the switch rail based on the LS-SVM; and monitoring the switch rail by the automatic online defect identification model of the switch rail based on the LS-SVM.


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