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Defect Detection Performance of a High-speed Rail Inspection System from Passive Acoustic Identification

机译:基于被动声识别的高铁检测系统缺陷检测性能

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Inspection of railway tracks using ultrasonic techniques has been growing in importance since the last few years. Most of the existing technologies, however, operate at low speeds (~30 mph) using specialized test vehicles. This paper is based on a new technology utilizing non-contact air-coupled ultrasonic transducers for high-speed (up to 80 mph) rail inspection through the extraction of the acoustic Green's function of a rail segment between a pair of sensors. The Green's function is extracted passively using an output-only approach with the wheels of the locomotive acting as the source of excitation. The paper will focus on the results of various field tests conducted at the Transportation Technology Center in Pueblo, CO. Specifically, the detection performance of the "passive" prototype will be determined based on Receiver Operating Characteristic (ROC) curves that are obtained for various rail discontinuities (joints, welds, defects) and with varying operational parameters (speed, length of baseline distribution, number of runs, etc.). The optimum selection of these parameters will be determined based on these curves.
机译:从过去几年以来,使用超声技术的铁路轨道的检查一直在增长。然而,大多数现有技术,使用专用测试车辆以低速(约30英里/小时)操作。本文基于新技术,采用非接触式空气耦合超声换能器,通过提取一对传感器之间的轨道段的轨道段的声学绿色功能来提取高速(高达80英里/小时)的轨道检查。绿色的功能是通过仅作为激发源的机车的车轮用输出的方法被动地提取。本文将专注于在普埃布洛的运输技术中心在CO的运输技术中心进行的结果。具体地,将基于为各种所获得的接收器操作特征(ROC)曲线来确定“被动”原型的检测性能轨道不连续(接头,焊接,缺陷)以及不同的操作参数(速度,基线分布的长度,运行数量等)。将基于这些曲线确定这些参数的最佳选择。

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