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UCSD/FRA Non-contact Ultrasonic Guided-Wave System for Rail Inspection: An Update

机译:UCSD / FRA用于铁路检查的非接触式超声波导波系统:更新

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The University of California at San Diego (UCSD), under a Federal Railroad Administration (FRA) Office of Research and Development (R&D) grant, is developing a system for high-speed and non-contact rail defect detection. A prototype has been designed and field tested with the support of Volpe National Transportation Systems Center and ENSCO, Inc. The goal of this project is to develop a rail defect detection system that provides (a) better defect detection reliability (including internal transverse head defects under shelling and vertical split head defects), and (b) higher inspection speed than achievable by current rail inspection systems. This effort is also in direct response to Safety Recommendations issued by the National Transportation Safety Board (NTSB) following the disastrous train derailments at Superior, WI in 1992 and Oneida, NY in 2007 among others. The UCSD prototype uses non-contact ultrasonic probing of the rail head (laser and air-coupled), ultrasonic guided waves, and a proprietary real-time statistical analysis algorithm that maximizes the sensitivity to defects while minimizing false positives. The current design allows potential inspection speeds up to 40 mph, although all field tests have been conducted up to 15 mph so far. This paper summarizes (a) the latest technology development test conducted at the rail defect farm of Herzog, Inc. in St Joseph, MO in June 2010, and (b) the completion of the new Rail Defect Farm facility at the UCSD Camp Elliott Field Station with partial in-kind donations from the Burlington Northern Santa Fe (BNSF) Railway.
机译:加利福尼亚大学圣地亚哥分校(UCSD),隶属于联邦铁路管理局 (FRA)研究与开发办公室(R&D)赠款,正在开发高速系统 和非接触式轨道缺陷检测。已经设计出了原型,并通过 Volpe国家运输系统中心和ENSCO,Inc.的支持。此目标 该项目旨在开发一种铁路缺陷检测系统,该系统可提供(a)更好的缺陷检测 可靠性(包括脱壳和垂直裂头下的内部横向头缺陷) 缺陷),并且(b)检验速度比目前的铁路检验系统更高。这 努力也直接响应了国家发布的安全建议 威斯康星州苏必利尔发生灾难性的火车出轨后,运输安全委员会(NTSB) 在1992年和2007年在纽约的奥尼达(Oneida)。 UCSD原型使用轨道头(激光和空气耦合)的非接触式超声探测, 超声波导波,以及专有的实时统计分析算法,可最大程度地提高 对缺陷的敏感性,同时最大程度地减少误报。当前的设计允许潜在的 检查速度高达40 mph,尽管到目前为止,所有现场测试都以15 mph的速度进行。 本文总结了(a)对钢轨缺陷进行的最新技术开发测试 于2010年6月在密苏里州圣约瑟夫市的Herzog,Inc.农场建造,以及(b)新铁路的竣工 加州大学圣地亚哥分校埃利奥特营地站的缺陷农场设施,部分捐赠来自 伯灵顿北部圣达菲(BNSF)铁路。

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