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  • 标题:Towards an Energy-based Indicator of Track Quality in Turnouts
  • 本地全文:下载
  • 作者:Seyed Mohammad Asadzadeh ; Roberto Galeazzi ; Pegah Barkhordari
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:8482-8487
  • DOI:10.1016/j.ifacol.2020.12.1428
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper investigates track vibration energy as a potential novel indicator of turnout’s track quality. Exploiting measurements of train-induced track vertical accelerations at different sections of a turnout, the track vibration energy is estimated and its variation over time analysed through the creation of statistical empirical distributions. A clear increase in vibration energy can be observed over a period of two years. An analysis of the turnout track geometry through a standard indicator adopted by the railway industry is then performed, and an increase in longitudinal level over the same investigation period clearly indicates track degradation due to cumulative loading. Last, a correlation analysis is performed between the estimated vibration energy and the indicator of track quality based on geometry data. Such analysis shows a significant correlation between the two indexes, thereby addressing the possibility of developing a novel condition monitoring tool for track quality based on track vibration energy. The whole investigation is based on full-scale measurements of track vertical acceleration and track geometry performed over a period of two years in a turnout of the Danish railway infrastructure.
  • 关键词:KeywordsTrack quality estimationData fusionStatistical methods for FDITime series modelingCondition monitoring
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