Key performance indicators using robust prediction modelling to consider squats in railway infrastructure

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Key performance indicators using robust prediction modelling to consider squats in railway infrastructure

Conference Paper (2016)

Author(s)

A Jamshidi (TU Delft - Civil Engineering & Geosciences)

AA Nunez (TU Delft - Civil Engineering & Geosciences)

M Molodova (TU Delft - Civil Engineering & Geosciences)

Z Li (TU Delft - Civil Engineering & Geosciences)

RPBJ Dollevoet (TU Delft - Civil Engineering & Geosciences)

Research Group

OLD Road and Railway Engineering

Squat Key performance indicators Axle box acceleration Measurement;

DOI related publication

https://doi.org/10.4203/ccp.110.159 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:5cba7406-1f2e-4b8d-8b61-fa2b495b2004

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Publication Year

2016

Language

English

Research Group

OLD Road and Railway Engineering

Pages (from-to)

1-10

ISBN (print)

978-1-905088-65-2

Event

Railways 2016: 3rd International Conference on Railway Technology: Research, Development and Maintenance (2016-04-05 - 2016-04-08), Cagliari, Italy

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