Detection of Rail Fastener Conditions Using Time-Frequency Entropy Based on Orthogonal Empirical Mode Decomposition

Abstract:

A method based on OEMD (Orthogonal Empirical Mode Decomposition) and the theory of time-frequency entropy was applied to detect different rail fastener conditions. The original vertical vibration acceleration response of rail under different fastening conditions was obtained from outdoor experiment. The OEMD method was used to get orthogonal IMFs (Intrinsic Mode Functions) of the original vibration signal. The Hilbert time-frequency spectrum was then obtained based on the orthogonal IMFs and corresponding entropy was calculated and compared. The results show that the method is available to detect different rail fastener conditions.

• Periodical: Applied Mechanics and Materials (Volumes 333-335)
• Pages: 1708-1712
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.333-335.1708
• Online since: July 2013
• Authors: Chong Liu, Li Hua Zhang, Tong Qun Ren, Jun Sheng Liang, Da Zhi Wang, Ke Wang, Tian Rao Wang
• Keywords: Hilbert Time-Frequency Spectrum, OEMD, Rail Fastener Condition, Time-Frequency Entropy

References

[1] Jianyue Zhu. On the effect of rail fastener support failure on the dynamic behavior of railway track[J]. Journal of vibration engineering, 2011, 4, 24(2): 158-163. (In Chinese).

[2] Dejie Yu, Yu Yang, Junsheng Cheng. Application of time-frequency entropy method based on Hilbert-Huang Transform to gear fault diagnosis[J]. Measurement, 2007(40): 823-830.

DOI: 10.1016/j.measurement.2007.03.004

[3] Kuanfeng He, Jigang Wu, Guangbin Wang. Time-frequency entropy analysis of alternating current square wave current signal in submerged arc welding[J]. Journal of computers, 2011, 10, 6(10): 2092-(2097).

DOI: 10.4304/jcp.6.10.2092-2097

[4] Tianli Huang, Weixin Ren, Menglin Lou. The orthogonal Hilbert-Huang Transform and its application in earthquake motion recordings analysis[C]. The 14th World Conference on Earthquake Engineering, (2008).

[5] Tianli Huang, Menglin Lou. Study on some methods for identification of structural system and damage[D]. Tongji University, Shanghai, China, 2007, 1. （In Chinese）.

[6] Norden E. Huang, Zheng Shen, Steven R. Long, et al. The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proc R Soc Lond A, 1998, 454: 903.

DOI: 10.1098/rspa.1998.0193

[7] Menglin Lou, Tianli Huang. Orthogonal empirical mode decomposition[J]. Journal of Tongji University ( Natural Science). 2007, 3, 35（3）: 293-298. (In Chinese).

[8] Xiaoling Wang, Jin Chen, Feiyun Cong. Application of spectral band entropy (SBE) method in rolling bearing fault diagnosis based on time-frequency analysis[J]. Journal of vibration and shock. 2012, 31(18）: 29-33. (In Chinese).