Research on Recognition Algorithm of Track Substructure Defects Based on Vehicle Dynamic Responses

Abstract : Track stiffness abrupt change caused by track substructure defects can lead to rather large dynamic irregularity when the train goes through it. Thus the dynamic action between wheel and rail is increasing, which will influence the safety and comfort of the train. In this paper, the dynamic responses of vehicle and track are analyzed based on vehicle track coupling model in which two kinds of defects of track substructure are simulated. To reduce the maintenance cost, a recognition algorithm of track substructure defects using vehicle dynamic responses is proposed based on Support Vector Machines. Finally, a case has been studied based on the algorithm proposed in this paper, and the simulation results show that the method is effective to recognize the track substructure defects such as unsupported sleepers, loosened fasteners, and the accuracy of recognition can be reached to 90%.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/hal-01449766
Contributor : Hal Ifip <>
Submitted on : Monday, January 30, 2017 - 4:45:51 PM
Last modification on : Friday, December 1, 2017 - 1:15:33 AM

File

978-3-642-41263-9_65_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Hongmei Shi. Research on Recognition Algorithm of Track Substructure Defects Based on Vehicle Dynamic Responses. 20th Advances in Production Management Systems (APMS), Sep 2013, State College, PA, United States. pp.525-532, ⟨10.1007/978-3-642-41263-9_65⟩. ⟨hal-01449766⟩

Share

Metrics

Record views

52

Files downloads

118