• Title/Summary/Keyword: Track geometry recording

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A Study of Analysis Method for the Track Geometry Measuring Data on High Speed Railway (고속철도 궤도검측 자료 분석기법에 관한 연구)

  • 강기동
    • Journal of the Korean Society for Railway
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    • v.7 no.4
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    • pp.291-295
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    • 2004
  • The Track geometry measuring on High-speed railway is the most important subject for the track construction and track maintenance work. Also the measuring accuracy is so significant part because it provides principle data for the maintenance plan and the assesment of working quality and can control the train speed limitation. From this point of view, it is very important to verify for the track recording coach(EM120) in KNR. According to the result of spectrum analysis, the noise near 1m waveband was found on the track recording data from EM120. So, New filter has been applied to remove the noise form track recording data. and it makes possible to acquire resembling result to real track geometry.

A Study of Analysis Method for the Track geometry measuring data on High Speed Railway (고속철도 궤도검측자료 분석기법에 관한 연구)

  • Kang, Kee Dong
    • Journal of Korean Society of Steel Construction
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    • v.18 no.1
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    • pp.47-51
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    • 2006
  • Measuring the track geometry of a high-speed railway is the most important task in track construction and track maintenance work. Measuring accuracy is particularly sign the formulation of the maintenance plan and in the assessment of the work quality, and because it can set the train speed limit. To determine the track geometry of a high-speed railway, it is important to use KNR's track recording coach (EM-120). According to the result of the spectrum analysis, noise near the 1-m wave band was found on the track recording data. A new filter was thus applied to remove the noise from the track recording data. A similar result can be acquired when this method is used in real track geometry.

Comparison of Track Recording with Surveying in Track irregularity Measurement (궤도틀림의 검측값과 측량결과 비교)

  • Lee, Jee-Ha;Choi, Ii-Yoon;Kim, Bak-Jin
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.1090-1095
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    • 2008
  • Track geometry changes by traffic loads. The bigger the changes are, the worse the riding comfort and running stability of train. This is so-called track irregularity and is the most important quality parameters of ballasted track. To objectively assess track irregularity, track geometry should be able to be measured. Practically, railway companies use moving chord method, which determine versine values via a chord. The versine is the vertical distance to curve measured in the middle of the chord. This type of method measures only versine of track irregularity curve by transfer function from the characteristics of measuring device. In this report, review the characteristics of two types of measuring tools by comparing the measurements. The one is GRP-1000 system, optical surveying system with Total station and lazar prism trolley. This calculates track geometry by surveying absolute coordinates of two points each on both rail heads. The other is EM-120, measures versine with 10m of symmetrical chord length.

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A Study on the Reliability of Various Track Recording Data (다양한 궤도틀림 데이터의 신뢰성 검토)

  • Lee, Jee-Ha;Ahn, Sung-Hyuk;Park, Hye-Jong;Kim, Bag-Jin
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.435-441
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    • 2011
  • Track geometry changes by traffic loads. The bigger the changes are, the worse the riding comfort and running stability of train. This is so-called track irregularity and is the most important quality parameters of ballasted track. To objectively assess track irregularity, track geometry should be able to be measured. Practically, railway companies in Korea use various track recording equipments to measure track irregularity. But this various equipments output different data due to their geometrical structure even measured at same location. In this report, the correlation of various track recording data used in Korea was reviewed.

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A Study of the Long Wave Track Defect Analysis for High Speed Railway (고속철도의 장파장 제도틀림 분석에 대한 연구)

  • Kang Kee-Dong
    • Journal of the Korean Society for Railway
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    • v.8 no.2
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    • pp.111-115
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    • 2005
  • The Study provides the technical background and calculation method f3r the long wave track defect. On high speed railway, It is necessary to manage the long wave band up to 80m track defect fur improving a riding quality. For this reason, Track recording methods for highspeed railway are used 10m and 30m recording bases, these are covered middle wave band and long wave band successfully. Extended base recording data is calculated by geometrical model and this data provides a good result for KTX riding index.

Probability Distribution of Track Recording Data (궤도틀림 검측 데이타의 확률분포 검토)

  • Lee, Jee-Ha;Na, Sung-Hoon;Kim, Bag-Jin;Lee, You-Bok
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.310-314
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    • 2010
  • Track geometry changes by traffic loads. The bigger the changes are, the worse the riding comfort and running stability of train. This is so-called track irregularity and is the most important quality parameters of ballasted track. To objectively assess track irregularity, track geometry should be able to be measured. Practically, railway companies in Korea use normal distribution as probability distribution of track irregularity. But some countries use non-normal distribution according to their own track recording system. In this report, reviewed probability distribution of Kyung-Bu high-speed line and tested normality.

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Identification of Track Irregularity using Wavelet Transfer Function (웨이브렛 전달함수를 이용한 궤도틀림 식별)

  • Shin, Soo-Bong;Lee, Hyeung-Jin;Kim, Man-Cheol;Yoon, Seok-Jun
    • Journal of the Korean Society for Railway
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    • v.13 no.3
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    • pp.304-308
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    • 2010
  • This paper presents a methodology for identifying track irregularity using a wavelet transfer function. An equivalent wavelet SISO (single-input single-output) transfer function is defined by the measured track geometry and the acceleration data measured at a bogie of a train. All the measured data with various sampling frequencies were rearranged according to the constant 25cm reference recording distance of the track recording vehicle used in the field. Before applying the wavelet transform, measured data were regressed by eliminating those out of the range. The inverse wavelet transfer function is also formulated to estimate track geometry. The closeness of the estimated track geometry to the actual one is evaluated by the coherence function and also by FRF (frequency response function). A track irregularity index is defined by comparing the variance of the estimation error from the intact condition and that from the current condition. A simulation study has been carried out to examine the proposed algorithm.