Assessment of railway performance by monitoring land subsidence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

Abstract

Improvement of railway capability results in heavier axle loads and higher speed lines, which further induces railway subsidence. In order to ensure a good railway performance and reduce railway life cycle costs, railway subsidence should be measured regularly. The paper aims to assess railway performance by monitoring land subsidence along the railway, predicting railway subsidence in the future based on historical subsidence records. Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) is adopted in this research for monitoring land subsidence along the railway while Autoregression Moving Average (ARMA), artificial neural network and grey model are applied for subsidence prediction.

Details

Original languageEnglish
Title of host publicationIET Conference Publications
Publication statusPublished - 2014
Event6th IET Conference on Railway Condition Monitoring, RCM 2014 - Birmingham, United Kingdom
Duration: 17 Sep 201418 Sep 2014

Conference

Conference6th IET Conference on Railway Condition Monitoring, RCM 2014
CountryUnited Kingdom
CityBirmingham
Period17/09/1418/09/14

Keywords

  • Assessment of railway performance, PS-InSAR, Railway subsidence monitoring, Subsidence prediction

ASJC Scopus subject areas