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Development and testing of an automatic remote condition monitoring system for train wheels

机译:车轮自动远程状态监测系统的开发和测试

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摘要

The safe guidance of railway vehicles is dependent on the contact geometry between the wheel and the rail as defects in the running surface of the wheels can increase the risk of derailments and wheel catastrophic failures, and significantly increase the damage done by the vehicle to the track. An automatic optical based system for detecting wheel defects of rail vehicles passing in service has been developed and tested. The system is described, detailing the process of capturing consistent high resolution and quality images of the wheel tread and flange suitable for processing to detect defects. Tests of the system have been carried out with a wide variety of different rail vehicles, some with defects created artificially on the test wheel to test the image capturing capability of the system and its ability to automatically detect the defects. The prototype system was successfully installed in an operational railway site and captured high-resolution images of the tread and flanges of the entire circumference of rail vehicle wheels as they passed through the system. The system was also shown to be successful at automatically analysing the captured images to detect wheel surface defects.
机译:铁路车辆的安全引导取决于车轮与轨道之间的接触几何形状,因为车轮运行表面上的缺陷会增加脱轨和车轮灾难性故障的风险,并显着增加车辆对轨道的损坏。已经开发和测试了一种基于光学的自动光学系统,用于检测在役铁路车辆的车轮缺陷。描述了该系统,详细描述了捕获适合于检测缺陷的车轮胎面和轮缘的一致的高分辨率和高质量图像的过程。已经对各种不同的轨道车辆进行了系统测试,其中一些在测试轮上人为地产生了缺陷,以测试系统的图像捕获能力及其自动检测缺陷的能力。该原型系统已成功安装在可运营的铁路站点中,并捕获了铁路车轮在整个系统中通过的胎面和法兰的高分辨率图像。该系统还被证明可以成功地自动分析捕获的图像以检测车轮表面缺陷。

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