Denoising of sensor signals for the flange thickness measurement based on wavelet analysis

• Published in: Optik (Stuttgart) Vol. 122; no. 8; pp. 681 - 686
• Main Authors: Zhang, Zhifeng, Su, Zhan, Su, Yuling, Gao, Zhan
• Format: Journal Article
• Language: English
• Published: Elsevier GmbH 01.04.2011
• Subjects: Creep (materials); Denoising; FFT; Flange thickness; Flanges; Laser displacement sensor; Optoelectronics; Railway engineering; Thickness measurements; Wavelet analysis; Wear; Wheelset; Wheelsets; Flange thickness; FFT; Wheelset; Denoising; Laser displacement sensor
• ISSN: 0030-4026; 1618-1336
• DOI: 10.1016/j.ijleo.2010.05.006

A railway wheelset is subject to normal wear due to large part to friction contact between the wheelset and the rail. Because the wear of wheelset will bring the hidden security troubles to the operation of the railway, it is very important to measure the wheelset's geometrical parameters, especially the flange thickness. The optoelectronic method is proposed and can dynamically measure the flange thickness on line. Fast Fourier transform and wavelet analysis methods are used to denoise the sensor's signals. It is found that the wavelet transform produces a much better way of denoising of the signals compared with the fast Fourier transform. Comparisons of the flange thickness measurement with the wheelset creeping and the optoelectronic system are presented. The root-mean-square errors of the flange thickness with the manual measurement with the wheelset creeping and the optoelectronic method measurement with the wavelet analysis are 0.22 and 0.18, respectively. The changing range of manual measurement is much larger than that of the optoelectronic method because of the difference between every operator's measuring standard. Measurement results of the optoelectronic method show that the system has better repeatability and reliability compared to the manual measurement.