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- W2997392021 abstract "In today’s track measuring systems, measurement results are presented as the tables, usually with 25 cm increments. Further processing and subsequent decision-making are performed pursuant to the European standards EN 13848 or to the railroads’ regulation based thereon. We and other authors have pointed out the problems of accuracy of analysis arising from the use of SD and concluded that application of SD approach produces inaccurate and non-optimal results. For a complete and undistorted description of the track condition, we have proposed using a function of the original random process that shows the value of the cumulative defect length of the corresponding size (QCDF). Our method allows to: 1.Objectively (directly, instead of indirect analysis with the SD method) assess the track technical condition based on the irregularities’ physical parameters,2.Choose track segments for scheduling maintenance work. Unlike SD analysis, work will not be planned for segments with defects below the threshold, and segments that require work will not be overlooked.3.Assess the quality of maintenance work performed—from the point of view of elimination of track irregularities of various sizes.4.Predict with high accuracy track condition in future periods. For a 100 m track segment, and defect sizes exceeding 4 mm, absolute value of prediction error for a 6-month future period is less than 2.1 m with 95% probability.The advantages of applying our method:1.Reduction of operating costs.2.Increase in the comfort of movement." @default.
- W2997392021 created "2020-01-10" @default.
- W2997392021 creator A5019902592 @default.
- W2997392021 date "2020-01-01" @default.
- W2997392021 modified "2023-09-23" @default.
- W2997392021 title "Analysis of Track Condition Based on Application of the Irregularity Length Cumulative Distribution Function" @default.
- W2997392021 cites W1987069535 @default.
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- W2997392021 doi "https://doi.org/10.1007/978-981-15-0450-1_33" @default.
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