DocumentCode :
3160433
Title :
Time-frequency analysis of vehicle/bridge coupling system based on Hilbert-Huang Transform
Author :
Chen, S.X. ; Lin, J.H. ; Chen, J.Z.
Author_Institution :
State Key Lab. of Traction Power, Southwest Jiaotong Univ., Chengdu, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
6052
Lastpage :
6055
Abstract :
In order to investigate the change of time-frequency characteristics of vehicle/track/bridge coupling system caused by wheel tread reprofiling, a coupling model of vehicle/track/bridge system is developed, the empirical mode decomposition (EMD) and Hilbert-Huang Transformation (HHT) are introduced to the analysis of vibration signal. Based on the theory of vehicle/track/-bridge coupling dynamics, vibration acceleration of coupling system of motor car moving over bridge are calculated before and after wheel tread reprofiling, respectively. Vibration signal of coupling system is firstly decomposed into intrinsic mode functions (IMFs) by EMD method, and then Hilbert marginal spectrum is obtained from Hilbert-Huang transform. Compared with Fourier amplitude spectrum, Hilbert spectrum has higher resolution power in frequency domain in the time-frequency analysis. The simulation indicates that the proposed method is effective in the time-frequency characteristics extraction of vehicle/track/bridge coupling system.
Keywords :
Hilbert transforms; automobiles; bridges (structures); structural engineering; time-frequency analysis; vehicle dynamics; vibrations; wheels; EMD method; Hilbert marginal spectrum; Hilbert-Huang transforms; empirical mode decomposition; intrinsic mode functions; motor cars; time frequency analysis; vehicle-track-bridge coupling system; vibration acceleration; vibration signal analysis; wheel tread reprofiling; Bridges; Couplings; Mathematical model; Rails; Vehicle dynamics; Vehicles; Wheels; Hilbert spectrum; empirical mode decomposition; vehicle/track/bridge coupling dynamics; vibration signal; wheel tread reprofiling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6009895
Filename :
6009895
Link To Document :
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