Application of wavelet transform to train spring system diagnostics

Author

Geshev, G.D. ; Dimitrov, Emil N. ; Nenov, Nencho G.

Author_Institution

Dept. of Electron. Eng. & Technol., Tech. Univ. of Sofia, Sofia, Bulgaria

fYear

2009

fDate

13-17 May 2009

Firstpage

1

Lastpage

5

Abstract

The paper examines the train spring system diagnostics problem. The rail disturbances have stochastic nature. This allows acquisition of data containing useful information. Real-time data have been collected during the normal operation. Different data processing methods have been applied, among which the wavelet transform has shown the most relevant and reliable information. Data processing program has been developed for MATLAB^reg numeric environment. Data processing determines the damper system condition parameters. The logarithmic damping decrement is the main parameter.

Keywords

damping; data acquisition; railway engineering; shock absorbers; springs (mechanical); stochastic processes; wavelet transforms; MATLABreg; damper system condition; data acquisition; data processing; logarithmic damping decrement; rail disturbances; stochastic nature; train spring system diagnostics; wavelet transform; Continuous wavelet transforms; Damping; Data processing; Frequency; Mechanical sensors; Rails; Springs; Stochastic processes; Vehicles; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Technology, 2009. ISSE 2009. 32nd International Spring Seminar on

Conference_Location

Brno

Print_ISBN

978-1-4244-4260-7

Type

conf

DOI

10.1109/ISSE.2009.5206944

Filename

5206944