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CONDITION MONITORING OF RAIL CAR AIR BRAKE SYSTEMS USING ULTRASOUND

机译:利用超声监测轨道汽车空气制动系统的状态

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摘要

Airbrake reliability during the winter has been an on-going concern for railway operators in North America. Methods to detect air leaks still rely heavily on manual inspection. A noncontact automatic leak detection method may increase airbrake reliability, and save costs associated with prorogated inspection time and delay in schedules. Ultrasound Leakage Detection (ULD) was initially investigated as an alternative to visual inspection and manual testing, with positive results for field trials in a rail yard of a major railway and for bench-scale experiments under idealized cold-room conditions. Simulated leaks using shop air pressure (in the range from 60 to 95 psi) with five different leaking components yielded 100% accurate leak identification and pinpointed faulty components with the initial location of the ULD device being 5 m away and 0° off-axis to the leaks. In laboratory leak classification tests, noises from various leaking components were recorded using the ULD device and digitally processed. Seven parameters in the time and frequency domain were compared among different faulty components. Leak type identification efforts showed no single parameter could unambiguously identify the leak type in the frequency range of heterodyned ultrasound. Distinct trends of Power Spectral Density (PSD) distributions in the entire frequency domain were observed in road noises and distant train noises. Noises from active trains on nearby tracks have large variations, but some noises from sources such as hand brake chains or end-of-train device turbines have unique patterns of PSD distribution. Non-rail noises and distant rail noises can be differentiated from actual leaks in the rail yard environment; however, nearby rail noises interfere greatly with the identification of airbrake system leaks on the train, and so additional knowledge of the train's surroundings is critical for eliminating the false positive results of airbrake leaks. The possibility of using automatic rail side mounted ULD devices is introduced.
机译:对于北美的铁路运营商来说,冬季的空气制动可靠性一直是关注的焦点。检测空气泄漏的方法仍然严重依赖于手动检查。非接触式自动泄漏检测方法可以提高空气制动的可靠性,并节省与规定的检查时间和时间表延迟相关的成本。超声泄漏检测(ULD)最初是作为视觉检查和手动测试的替代方法进行研究的,对于在主要铁路的铁路场中进行的现场试验以及在理想的冷室条件下进行的规模试验,都获得了积极的结果。使用车间空气压力(范围为60至95 psi)与五个不同的泄漏分量进行模拟泄漏,可实现100%准确的泄漏识别和精确定位故障组件,ULD设备的初始位置位于5 m处,并且与轴线成0度偏轴泄漏。在实验室泄漏分类测试中,使用ULD设备记录了来自各种泄漏组件的噪声并进行了数字处理。在不同故障组件之间比较了时域和频域中的七个参数。泄漏类型识别工作表明,没有任何一个参数能够明确识别异质超声频率范围内的泄漏类型。在道路噪声和远处的火车噪声中,观察到了在整个频域中功率谱密度(PSD)分布的明显趋势。来自附近轨道上的活动列车的噪声变化很大,但是来自诸如手刹链或火车末期设备涡轮机之类的源的某些噪声具有独特的PSD分布模式。非铁路噪声和远处的铁路噪声可以与铁路场环境中的实际泄漏区分开来;但是,附近的铁路噪声极大地干扰了火车上空气制动系统泄漏的识别,因此对火车周围环境的了解对于消除空气制动泄漏的假阳性结果至关重要。介绍了使用自动导轨侧安装的ULD设备的可能性。

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