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原文传递 Geometrical Degradation Analysis of Railway Turnouts Using Power Spectral Density

题名：	Geometrical Degradation Analysis of Railway Turnouts Using Power Spectral Density
其他题名：	He,Q.,Li,H.,Bhattacharjya,D.,Parikh,D.P.,and Hampapur,A.(2015)."Track geometry defect rectification based on track deterioration modelling and derailment risk assessment."J.Operational Res.Soc.,66(3),392–404.
正文语种：	英文
作者：	Niloofar Minbashi
关键词：	Railway turnout;Geometrical degradation;Longitudinal level parameter;Power spectral density;Corrective maintenance;Swedish railways
摘要：	This paper examines the application of power spectral density (PSD) in turnout geometrical degradation analysis. Power spectral density in the form of a continuous curve can show track irregularities through wavelength and amplitude. The longitudinal level parameter measurements of four turnouts from Swedish railways are selected. ProVal software is used for PSD implementation. The PSD curves of the actual measurements are compared to PSD standards programmed in MATLAB. The results show that PSD can demonstrate turnout geometrical condition by means of wavelength and spectral density, providing more information regarding the nature of faults in turnouts. It is also able to demonstrate the condition of turnout sections separately and determine which section needs corrective maintenance. Thus, using PSD helps identify the need for corrective maintenance more precisely; this type of maintenance is important because it deals with safety-related defects. The knowledge obtained by PSD is helpful when planning corrective maintenance activities to rectify geometrical faults in turnouts of a line, reducing the time and money spent on maintenance.
出版年：	2017
论文唯一标识：	P-72Y2017V143N08007
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/JTEPBS.0000056
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	143
期：	08
页码：	51-62