Onboard detection of railway axle bearing defects using envelope analysis of high frequency acoustic emission signals

Arash Amini, Mani Entezami, Mayorkinos Papaelias
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引用次数: 61

Abstract

Railway wheelsets consist of three main components; the wheel, axle and axle bearing. Faults can develop on any of the aforementioned components, but the most common are related to wheel and axle bearing damages. The continuous increase in train operating speeds means that failure of an axle bearing can lead to very serious derailments, potentially causing human casualties, severe disruption in the operation of the network, damage to the tracks, unnecessary costs, and loss of confidence in rail transport by the general public. The rail industry has focused on the improvement of maintenance and online condition monitoring of rolling stock to reduce the probability of failure as much as possible. This paper discusses the results of onboard acoustic emission measurements carried out on freight wagons with artificially damaged axle bearings in Long Marston, UK. Acoustic emission signal envelope analysis has been applied as a means of effective tool to detect and evaluate the damage in the bearings considered in this study. From the results obtained it is safe to conclude that acoustic emission signal envelope analysis has the capability of detecting and evaluating faulty axle bearings along with their characteristic defect frequencies in the real-world conditions.

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高频声发射信号包络分析在铁路车轴轴承缺陷检测中的应用
铁路轮对由三个主要部分组成;轮毂、车轴和车轴轴承。故障可能发生在上述任何部件上,但最常见的是与车轮和轴轴承损坏有关。列车运行速度的不断提高意味着轴轴承的故障可能导致非常严重的脱轨,可能造成人员伤亡,严重扰乱网络运行,损坏轨道,造成不必要的成本,并使公众对铁路运输失去信心。铁路行业一直致力于改善车辆的维护和在线状态监测,以尽可能地降低故障概率。本文讨论了在英国朗马斯顿对人为损坏轴轴承的货车进行的车载声发射测量结果。本文将声发射信号包络分析作为检测和评估轴承损伤的有效工具。结果表明,声发射信号包络分析在实际工况下具有检测和评估故障轴轴承及其特征缺陷频率的能力。
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Contents Editorial Board Editorial Board Contents Comparison of surface-based and image-based quality metrics for the analysis of dimensional computed tomography data
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