2019
DOI: 10.14311/ap.2019.59.0077
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Evaluation of Railway Ballast Layer Consolidation After Maintenance Works

Abstract: The results of the study of the ballast layer consolidation after the work of ballast-tamping machines of different types are given in the article. The existing methods of determining the degree of consolidation of the ballast layer are analysed. The seismic method was improved by means of a complex dynamic and kinematic interpretation of the impulse response. For the dynamic interpretation with the use of statistical analysis, the features are selected so that they correspond to the degree of consolidation of… Show more

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Cited by 20 publications
(19 citation statements)
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“…methods of machine and deep learning allow not only to automate the processing and interpretation of data, but also significantly increase the degree of information use and accuracy of measurements [21][22]. In the study [23] methods of cluster and discriminant analysis were used to identify the characteristic features of the ballast layer consolidation.…”
Section: Development Of the Methods For Laboratory Determination Of Bamentioning
confidence: 99%
“…methods of machine and deep learning allow not only to automate the processing and interpretation of data, but also significantly increase the degree of information use and accuracy of measurements [21][22]. In the study [23] methods of cluster and discriminant analysis were used to identify the characteristic features of the ballast layer consolidation.…”
Section: Development Of the Methods For Laboratory Determination Of Bamentioning
confidence: 99%
“…Significant contribution to the development of the theory of rolling stock interaction with the track was posited by the scientists of the European Union, as it is depicted in the works [11][12][13][14][15][16][17].…”
Section: Analysis Of Literary Sources and Problem Statementmentioning
confidence: 99%
“…The detailed overview of big data analytic applications for a railway transportation system is presented in [8,9]. The application of statistical methods for selection of ballast compaction features is presented in the study [10]. A railway track condition monitoring with an on-board axle-box inertial measurement and their interpretation is discussed in paper [11,12].…”
Section: Introductionmentioning
confidence: 99%