<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The deterioration common crossing elements increase the need for the maintenance of crossings and significantly reduce the reliability, availability and safety of railway traffic. The present paper introduces the results of experimental investigation of common crossing monitoring while its deterioration during the lifecycle of crossing. The conventional methods of common crossing condition estimation with time-based features like maximal accelerations, etc. are low appropriate as statistically significant condition indicators. The proposed multifractal analysis enables to extract the significant features from acceleration measurements. The extracted features are fused together with information about the train velocities and longitudinal position of wheels impact with the Lasso regularisation and multivariate linear regression. A ranking of feature importance is done and the redundant features are identified. The developed condition indicator has good correlation to the crossing lifetime and is simple for interpretation.</p></abstract>

The deterioration common crossing elements increase the need for the maintenance of crossings and significantly reduce the reliability, availability and safety of railway traffic. The present paper introduces the results of experimental investigation of common crossing monitoring while its deterioration during the lifecycle of crossing. The conventional methods of common crossing condition estimation with time-based features like maximal accelerations, etc. are low appropriate as statistically significant condition indicators. The proposed multifractal analysis enables to extract the significant features from acceleration measurements. The extracted features are fused together with information about the train velocities and longitudinal position of wheels impact with the Lasso regularisation and multivariate linear regression. A ranking of feature importance is done and the redundant features are identified. The developed condition indicator has good correlation to the crossing lifetime and is simple for interpretation.

Multifractal Analysis of the Common Crossing Track-Side Measurements

Institute of Railway Systems and Public Transport

Department of Railway Engineering and Track Management, Faculty of Civil Engineering

Department of the Rolling Stock and Track

Lviv Branch of Dniprovsk National University of Railway Transport

Civil and Environmental Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Multifractal Analysis of the Common Crossing Track-Side Measurements"}

The deterioration common crossing elements increase the need for the maintenance of crossings and significantly reduce the reliability, availability and safety...

Multifractal Analysis of the Common Crossing Track-Side Measurements

Online veröffentlicht: 21. Dez. 2019

Seitenbereich: 101 - 114

DOI: https://doi.org/10.2478/cee-2019-0014

Schlüsselwörter
Railway common crossing, Track-side measurements, Condition indicators, Multifractal analysis, Lasso regularisation

© 2019 Mykola Sysyn et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Multifractal Analysis of the Common Crossing Track-Side Measurements

Online veröffentlicht: 21. Dez. 2019

Seitenbereich: 101 - 114

DOI: https://doi.org/10.2478/cee-2019-0014

SchlüsselwörterRailway common crossing, Track-side measurements, Condition indicators, Multifractal analysis, Lasso regularisation

© 2019 Mykola Sysyn et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Railway common crossing, Track-side measurements, Condition indicators, Multifractal analysis, Lasso regularisation