Rail vehicle ride comfort prediction based on bogie acceleration measurements

Author

Xiukun Wei ; Yan Liu ; Qu Sun ; Limin Jia ; Yuting Wang

Author_Institution

State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China

fYear

2013

fDate

25-27 May 2013

Firstpage

3810

Lastpage

3815

Abstract

Ride comfort is one of the most significant dynamic performance characteristics of railway vehicles. It is imperative to monitor and predict the vehicle ride comfort online especially for modern rail vehicles. In this paper, an innovative online rail vehicle ride comfort prediction method is proposed. By using the acceleration measurements from the sensors equipped on the bogies, the dynamical acceleration of the carbody is estimated by using principle component analysis (PCA) and partial least square (PLS) techniques. The ride comfort is further calculated by using the estimated three way acceleration signals. The proposed method is validated by using the professional rail vehicle simulation software, SIMPACK.

Keywords

acceleration measurement; least squares approximations; principal component analysis; railway rolling stock; sensors; PCA; PLS technique; SIMPACK; bogie acceleration measurement; carbody; dynamic performance characteristics; dynamical acceleration; innovative online rail vehicle ride comfort prediction method; partial least square technique; principle component analysis; professional rail vehicle simulation software; rail vehicle ride comfort prediction; sensors; vehicle ride comfort online monitoring; Acceleration; Mathematical model; Predictive models; Principal component analysis; Rails; Vehicles; Vibrations; Acceleration and Band-pass filter; Partial least square; Ride comfort;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561613

Filename

6561613