Title :
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
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 MATLABreg 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;
Conference_Titel :
Electronics Technology, 2009. ISSE 2009. 32nd International Spring Seminar on
Conference_Location :
Brno
Print_ISBN :
978-1-4244-4260-7
DOI :
10.1109/ISSE.2009.5206944
