文章基本信息

标题：Towards an Energy-based Indicator of Track Quality in Turnouts
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作者：Seyed Mohammad Asadzadeh ; Roberto Galeazzi ; Pegah Barkhordari 等
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