Improved wavelet de-noising method of rail vibration signal for wheel tread detection

Quan-ke Zhao; Chenguang Liu; Xiao-rong Gao; Lin Luo

doi:10.1117/12.905255

15 November 2011 Improved wavelet de-noising method of rail vibration signal for wheel tread detection

Quan-ke Zhao, Chenguang Liu, Xiao-rong Gao, Lin Luo

Proceedings Volume 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation; 832138 (2011) https://doi.org/10.1117/12.905255
Event: Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 2011, Yunnan, China

Abstract

The irregularities of wheel tread can be detected by processing acceleration vibration signal of railway. Various kinds of noise from different sources such as wheel-rail resonance, bad weather and artificial reasons are the key factors influencing detection accuracy. A method which uses wavelet threshold de-noising is investigated to reduce noise in the detection signal, and an improved signal processing algorithm based on it has been established. The results of simulations and field experiments show that the proposed method can increase signal-to-noise ratio (SNR) of the rail vibration signal effectively, and improve the detection accuracy.

Citation Download Citation

Quan-ke Zhao, Chenguang Liu, Xiao-rong Gao, and Lin Luo "Improved wavelet de-noising method of rail vibration signal for wheel tread detection", Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 832138 (15 November 2011); https://doi.org/10.1117/12.905255

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