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:
Apr. 25, 2017

Filed:

Nov. 27, 2015
Applicant:

Beijing Jiaotong University, Beijing, CN;

Inventors:

Limin Jia, Beijing, CN;

Yong Qin, Beijing, CN;

Yanhui Wang, Beijing, CN;

Shuai Lin, Beijing, CN;

Hao Shi, Beijing, CN;

Lifeng Bi, Beijing, CN;

Lei Guo, Beijing, CN;

Lijie Li, Beijing, CN;

Man Li, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B61L 99/00 (2006.01); B61L 27/00 (2006.01); B60T 7/22 (2006.01); G06F 17/50 (2006.01); G06N 99/00 (2010.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
B61L 99/00 (2013.01); G06F 17/50 (2013.01); G06N 99/005 (2013.01); H04L 67/12 (2013.01);
Abstract

The invention discloses a complex network-based high speed train system safety evaluation method. The method includes steps as follows: (1) constructing a network model of a physical structure of a high speed train system, and constructing a functional attribute degree of a node based on the network model; (2) extracting a functional attribute degree, a failure rate and mean time between failures of a component as an input quantity, conducting an SVM training using LIBSVM software; (3) conducting a weighted kNN-SVM judgment: an unclassifiable sample point is judged so as to obtain a safety level of the high speed train system. For a high speed train system having a complicated physical structure and operation conditions, the method can evaluate the degree of influences on system safety when a state of a component in the system changes. The experimental result shows that the algorithm has high accuracy and good practicality.


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