首页> 外文期刊>Mechanical systems and signal processing >Identification of characteristic frequencies of damaged railway tracks using field hammer test measurements
【24h】

Identification of characteristic frequencies of damaged railway tracks using field hammer test measurements

机译:使用现场锤测试测量来识别受损铁路轨道的特征频率

获取原文
获取原文并翻译 | 示例

摘要

In this paper, the feasibility of the Frequency Response Function (FRF)-based statistical method to identify the characteristic frequencies of railway track defects is studied. The method compares a damaged track state to a healthy state based on non-destructive field hammer test measurements. First, a study is carried out to investigate the repeatability of hammer tests in railway tracks. By changing the excitation and measurement locations it is shown that the variability introduced by the test process is negligible. Second, following the concepts of control charts employed in process monitoring, a method to define an approximate healthy state is introduced by using hammer test measurements at locations without visual damage. Then, the feasibility study includes an investigation into squats (i.e. a major type of rail surface defect) of varying severity. The identified frequency ranges related to squats agree with those found in an extensively validated vehicle-borne detection system. Therefore, the FRF-based statistical method in combination with the non-destructive hammer test measurements has the potential to be employed to identify the characteristic frequencies of damaged conditions in railway tracks in the frequency range of 300-3000 Hz.
机译:本文研究了基于频率响应函数(FRF)的统计方法识别铁路轨道缺陷特征频率的可行性。该方法基于无损现场锤测试测量将损坏的履带状态与健康状态进行比较。首先,进行了一项研究,以研究锤击试验在铁路轨道上的可重复性。通过改变激励和测量位置,可以看出测试过程引入的可变性可以忽略不计。其次,遵循过程监控中使用的控制图的概念,通过在没有视觉损伤的位置使用锤击测试测量,引入了一种定义近似健康状态的方法。然后,可行性研究包括对严重程度不同的下蹲(即铁路表面缺陷的主要类型)进行调查。识别出的与下蹲有关的频率范围与在经过广泛验证的车载检测系统中发现的频率范围一致。因此,基于FRF的统计方法与无损锤击测试测量相结合,有可能被用于识别300-3000 Hz频率范围内铁路轨道受损状况的特征频率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号