The Research of Irregularity Power Spectral Density of Beijing Subway

Abstract

This paper aimed to describe track irregularity of Beijing Subway. A preprocessing data that are from the upward track of Beijing Subway line 10 have been used in the survey. In addition, based on the maximum entropy principle, the spectrum of track irregularity power spectral density which is short for PSD has been drawn using MATLAB and fitted by using a nonlinear least squares method. After all scientific discussion, the results show the characteristic parameters of PSD. Furthermore, by contrasting Beijing Subway with national rail line, a proper function research has been done about track irregularity of Beijing Subway and the characteristics of track irregularity power spectral.

Keywords

Beijing subway / Track irregularities / PSD / Fitting

References

[1] Liu X (2009) Research on simulation and analysis of typical track spectrum. Dissertation, Ji Lin university

[2] Zeng H, Jin S, Chen X. Power spectrum density analysis of track irregularity of newly-built railway line for passenger. J Railw Sci Eng, 2005, 04: 31-34.

[3] Luo L. The control of track irregularity state of wheel-rail system, 2006, Beijing: China Railway Publishing House

[4] Li Z. Characteristic analysis of track irregularity spectrum of urban. J East China Jiaotong Univ Rail, Transit, 2011, 05: 83-87.

[5] Xu L, Chen X, Li X Track irregularity spectrum analysis of Shenchi—Huanghua Heavy Haul Railway. J Cent South Univ (Sci Technol), 2013, 12: 5147-5153.

[6] Li J, Lian S. Study on the relationship between track irregularity spectrum area and track quality index. J SHIJIAZHAUNG Railw Inst (Nat Sci), 2008, 04: 9-12.

[7] Chunhua Yu (2007) The study of urban rail transit track maintenance work’s contents and management mode, Urban Rail Transit, pp 72–75

[8] White DL (1998) Statistical characterization of vehicle and track interaction using rail vehicle response and track geometry measurements. Dissertation, Virginia Polytechnic Institute and State University

[9] Huang Y. Power spectrum estimation based on periodogram. Sci Technol West China, 2013, 09: 1-2.

[10] Wang S (2011) Research on power spectrum estimation and its application in broadband ADCP signal detection. Dissertation, Ocean university of China

[11] Geng X, He Z. Modern digital signal processing and its application, 2009, Beijing: The Press of Tsinghua University

[12] Lu M, Zhang X. The processing of discrete random signal, 2005, Beijing: The Press of Tsinghua University

[13] Tian G (2008) The analysis and numerical simulation of railway track irregularity power spectrum. Dissertation, Southwest Jiao Tong University

[14] Chen X, Wang L, Tao X Study on general track spectrum for Chinese main railway lines. Railw Sci Technol Res, 2008, 03: 73-77.

[15] Dong Z. Nonlinear least-square algorithms used for TMA in bearing-only system—the engineering mathematic model and algorithms. Inf Command Control Syst Simul Technol, 2005, 01: 4-8.