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Use of power spectral density for effective turnout geometry maintenance
School of Railway Engineering, Iran University of Science and Technology, Tehran.
School of Railway Engineering, Iran University of Science and Technology, Tehran.
Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2016 (English)In: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, Vol. 2545, p. 79-88Article in journal (Refereed) Published
Abstract [en]

The purpose of this study was to assess the geometrical quality of railway turnouts through application of power spectral density (PSD). PSD in the form of a continuous curve can show turnout irregularities by means of wavelength and amplitude. As a case study, the data related to longitudinal level parameter measurements for four turnouts in the Swedish Railways from 2007 to 2011 were acquired. The PSD curves for these measurements were calculated by means of ProVal software. The PSD curves were compared by PSD standard in a program written in MATLAB and turnout irregularities were determined. The results show that PSD is able to demonstrate the condition of turnouts individually and can also identify the wavelength faults present in different sections of a turnout. More important, PSD can be applied to prioritize maintenance needs of turnouts on the basis of their criticality. Use of PSD can help identify tamping needs more precisely. As a result, the geometrical quality can be restored before the defined maintenance thresholds are exceeded. This maintenance action also would reduce the total downtime, obligatory speed reductions, and maintenance costs

Place, publisher, year, edition, pages
2016. Vol. 2545, p. 79-88
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-7258DOI: 10.3141/2545-09Local ID: 59a82fc8-6be4-4f21-b5ed-7d1fc712c901OAI: oai:DiVA.org:ltu-7258DiVA: diva2:980147
Note

Validerad; 2016; Nivå 2; 20160708 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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