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Start Over Descriptor "shock events" Topic degradation
2 results on '"shock events"'

1. Prediction of railway track geometry defects: a case study.

Author

Soleimanmeigouni, Iman, Ahmadi, Alireza, Nissen, Arne, and Xiao, Xun

Subjects
*FORECASTING, *GEOMETRY, *STANDARD deviations, *RAILROADS, *REGRESSION analysis
Abstract

The aim of this study has been to develop a data-driven analytical methodology for prediction of isolated track geometry defects, based on the measurement data obtained from a field study. Within the study, a defect-based model has been proposed to identify the degradation pattern of isolated longitudinal level defects. The proposed model considered the occurrence of shock events in the degradation path. Furthermore, the effectiveness of tamping intervention in rectifying the longitudinal level defects was analysed. The results show that the linear model is an appropriate choice for modelling the degradation pattern of longitudinal level defects. In addition, a section-based model has been developed using binary logistic regression to predict the probability of occurrence of isolated defects associated with track sections. The model considered the standard deviation and kurtosis of longitudinal level as explanatory variables. It has been found that the kurtosis of the longitudinal level is a statistically significant predictor of the occurrence of isolated longitudinal level defects in a given track section. The validation results show that the proposed binary logistic regression model can be used to predict the occurrence of isolated defects in a track section. [ABSTRACT FROM AUTHOR]

Published
2020
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2. Prediction of railway track geometry defects : a case study

Author

Xun Xiao, Arne Nissen, Alireza Ahmadi, and Iman Soleimanmeigouni

Subjects
Annan samhällsbyggnadsteknik, Field (physics), Computer science, 0211 other engineering and technologies, binary logistic regression, 020101 civil engineering, Ocean Engineering, 02 engineering and technology, 0201 civil engineering, Linear regression, Track geometry, intervention limit, Safety, Risk, Reliability and Quality, Civil and Structural Engineering, degradation, 021110 strategic, defence & security studies, business.industry, shock events, Mechanical Engineering, Building and Construction, Structural engineering, prediction, Other Civil Engineering, Geotechnical Engineering and Engineering Geology, Railway track maintenance, geometry defect, tamping, linear regression, business
Abstract

The aim of this study has been to develop a data-driven analytical methodology for prediction of isolated track geometry defects, based on the measurement data obtained from a field study. Within the study, a defect-based model has been proposed to identify the degradation pattern of isolated longitudinal level defects. The proposed model considered the occurrence of shock events in the degradation path. Furthermore, the effectiveness of tamping intervention in rectifying the longitudinal level defects was analysed. The results show that the linear model is an appropriate choice for modelling the degradation pattern of longitudinal level defects. In addition, a section-based model has been developed using binary logistic regression to predict the probability of occurrence of isolated defects associated with track sections. The model considered the standard deviation and kurtosis of longitudinal level as explanatory variables. It has been found that the kurtosis of the longitudinal level is a statistically significant predictor of the occurrence of isolated longitudinal level defects in a given track section. The validation results show that the proposed binary logistic regression model can be used to predict the occurrence of isolated defects in a track section. Validerad;2020;Nivå 2;2020-06-03 (alebob)

Published
2020

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