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作者机构:Univ Patras Stochast Mech Syst & Automat SMSA Lab Dept Mech Engn & Aeronaut Patras 26504 Greece
出 版 物:《INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION》 (Int. J. Rail Transp.)
年 卷 期:2016年第4卷第4期
页 面:193-207页
学科分类:08[工学] 0823[工学-交通运输工程]
基 金:Attiko Metro S.A STASY S.A., Athens, Greece
主 题:Power spectral density scalar and vector autoregressive modelling statistical analysis data-based methods railway vehicle dynamics vertical vibration signals
摘 要:This study focuses on railway vertical random vibration-based spectral analysis under normal operating conditions. Vibration acceleration measurements are acquired using sensors mounted on the car body, bogie frame, axle bearing, and primary suspension of an Athens Metro vehicle running without passengers on a straight track. Two distinct track segments and four speeds (50, 60, 70, 80 km/h) are considered. The analysis focuses on the 0-1000 Hz frequency range using data-based non-parametric and parametric spectral estimation methods. The results indicate good agreement of the methods, the prominence of the 5-170 Hz frequency range along with higher frequencies at around 300 Hz and in the range of 600-750 Hz on the car body and the bogie frame vibration, the relatively minor dependency of the dynamics on the track segment, but their significant dependence on train speed. Yet, resonant frequencies are affected to a lesser extent, with at least 20 of them appearing as prominent.