Rail Short Wave Irregularities Restoration Algorithm Based on Digital Inverse Filter Technology

Xiao Jun Mao; Yu De Xu; Yu Zhou

doi:10.4028/www.scientific.net/AMR.779-780.530

Paper Titles

Analysis and Discussion on Impact Factor to Asphalt Pavement Roughness of Airport
p.510

Research about Model of Vehicle's Fuel Consumption on the Highway
p.516

Molecular Simulation of the Adsorption of Cold Start Hydrocarbons Emission from Diesel Engines in Zeolite
p.521

Abnormal Events Detection in Traffic Data
p.525

Rail Short Wave Irregularities Restoration Algorithm Based on Digital Inverse Filter Technology
p.530

Analysis of Settlement Caused by Tunnel Underneath Existing Railway after Construction
p.534

Effect of Cross Passage Construction on the Structural Safety of Collapse Reinforcement Segment of Existing Tunnel
p.538

Reliabiliy of Road Network Layout and Optimization Methods Based on the Connectivity
p.544

Application of the Pre-Stressed Concrete Box-Girder with Corrugated Steel Webs in Bridge Engineering in China
p.550

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 779-780Rail Short Wave Irregularities Restoration...

Rail Short Wave Irregularities Restoration Algorithm Based on Digital Inverse Filter Technology

Abstract:

In order to realize continuous detection of rail short wavelength irregularities and improve its restoration precision, an algorithm based on digital inverse filter technology is derived and presented. The inverse filter has been realized by means of Finite Impulse Response (FIR) digital filter. It has a complete linear phase characteristic which ensures no distortions of the restored waveform. Realization of the restoration algorithm is also based on Fast Fourier Transform (FFT) to make the restoration process effectively and efficiently. Finally the restored waveforms were compared with the results from RMF-2.3E devices and thus the restoration precision can be achieved. Results show higher restoration precision and reliability when compared to the traditional one of Mid-chord method. It means the restoration accuracy can be significantly improved by using digital inverse filter.

You might also be interested in these eBooks

Materials, Transportation and Environmental Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 779-780)

Pages:

530-533

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.779-780.530

Citation:

Cite this paper

Online since:

September 2013

Authors:

Xiao Jun Mao, Yu De Xu, Yu Zhou

Keywords:

Chord Reference Methods, Inverse Filter, Rail, Short Wave Irregularities

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Minghua Li, Lilin Li, Xiaoyuan He, Research on the Control of Track Irregularity of High-speed Railway, Journal of Railway Engineering Society, 9 (2009) 26-30.

Google Scholar

[2] Yongjian Zhou, Songliang Lian, Wenzhong Yang, Research of the Impact of Short Wave Track Irregularity on the Wheel-rail Force, Journal of East China Jiaotong University, 4 (2009) 6-12.

Google Scholar

[3] Grassie S. L., Measurement of railhead longitudinal profiles: a comparison of different techniques, Wear, 191 (1996) 245-251.

DOI: 10.1016/0043-1648(95)06732-9

Google Scholar

[4] Simon Iwnicki, Handbook of railway vehicle Dynamics, Section 13: Field testing and instrumentation of railway vehicles, CRC/Taylor & Francis, United Kingdom, 2006, pp.424-456.

DOI: 10.1201/9781420004892.ch13

Google Scholar

[5] Sinclair I, Sensors and Transducers, third ed., Butterworth Heinemann, London, (2001).

Google Scholar

[6] A. Yoshimura, A new method for repairing railway track irregularities using levelling and lining machines, Transactions on the Built Environment, 18 (1996) 1743-3509.

Google Scholar

[7] Akijoshi Yoshimura, Theory and Practice for Restoring and Original Waveform of a Railway Track Irregularity, OR of RTRI, 36 (1995) 85-95.

Google Scholar