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Data for: Automated processing of railway track deflection signals obtained from velocity and acceleration measurements

Data for: Automated processing of railway track deflection signals obtained from velocity and acceleration measurements
Data for: Automated processing of railway track deflection signals obtained from velocity and acceleration measurements
Data to accompany: Automated processing of railway track deflection signals obtained from velocity and acceleration measurements Milne, D., Le Pen, L., Powrie, W. & Thompson, D. 25 Jan 2018 In : Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 32 p. DOI: 10.1177/0954409718762172 Modeled and measured data for train passages used to explore the use of the cumulative distribution function to classify the range of total and downward deflection from train pass-by records obtained using inertial sensors for condition monitoring. XLS sheet containing measurements from a voided sleeper, a good sleeper and a model for a good sleeper, and data from continuous monitoring in named tabs.
University of Southampton
Milne, David
6b321a45-c19a-4243-b562-517a69e5affc
Milne, David
6b321a45-c19a-4243-b562-517a69e5affc

Milne, David (2018) Data for: Automated processing of railway track deflection signals obtained from velocity and acceleration measurements. University of Southampton doi:10.5258/SOTON/D0319 [Dataset]

Record type: Dataset

Abstract

Data to accompany: Automated processing of railway track deflection signals obtained from velocity and acceleration measurements Milne, D., Le Pen, L., Powrie, W. & Thompson, D. 25 Jan 2018 In : Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 32 p. DOI: 10.1177/0954409718762172 Modeled and measured data for train passages used to explore the use of the cumulative distribution function to classify the range of total and downward deflection from train pass-by records obtained using inertial sensors for condition monitoring. XLS sheet containing measurements from a voided sleeper, a good sleeper and a model for a good sleeper, and data from continuous monitoring in named tabs.

Spreadsheet
Data_For_AutoProcessing.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (1MB)
Text
Read_Me_For_Data_For_Auto_Process.txt - Other
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More information

Published date: 1 January 2018
Organisations: Infrastructure Group

Identifiers

Local EPrints ID: 419011
URI: http://eprints.soton.ac.uk/id/eprint/419011
PURE UUID: 4faa4f4d-60bd-4e34-aaa9-66099bb0db0d
ORCID for David Milne: ORCID iD orcid.org/0000-0001-6702-3918

Catalogue record

Date deposited: 27 Mar 2018 16:34
Last modified: 06 Nov 2023 02:52

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