国外文献 > 1.轴承 > 5. 监测与诊断 > 状态监测
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| 标 题： |
A benchmark of measurement approaches to track the natural evolution of spall severity in rolling element bearings
用于跟踪滚动轴承剥落严重程度自然演变的测量方法基准 |
| 作 者： |
Zhang H.
Borghesani P.
Randall R.B.
Peng Z. |
| 关键词： |
Acoustic emission [声发射]
Bearing fault [ 轴承故障]
Instantaneous angular speed [ 瞬时角速度]
Radial load [ 径向载荷]
Severity assessment [ 严重程度评估]
Vibration [ 振动] |
| 出版年： |
2022 |
| 期刊名： |
Mechanical Systems & Signal Processing
机械系统与信号处理 |
| 年卷期： |
2022, vol.166 |
| 摘 要： |
Bearing prognostics is an important aspect in condition-based maintenance (CBM), and a key step to successful prognostic methods is the ability to quantify the fault severity of the bearing. Previous studies have resulted in some severity assessment methods based on certain types of signals, such as vibration, acoustic emission (AE) and instantaneous angular speed (IAS), however, their performances were not compared, especially in terms of their ability to track the severity of naturally growing spalls. In this paper, four measurement approaches were tested on the same rig for bearing run-to-failure experiments, and their signals were analysed individually and compared. It was found that IAS and radial load (a proxy for displacement) required less processing to provide a reliable assessment of bearing fault severity, acceleration required sophisticated techniques to extract spall-size estimates, whereas AE could not track fault evolution accurately.
轴承预测是基于状态的维护（CBM）中的一个重要方面，而成功预测方法的关键步骤之一是能够量化轴承故障的严重程度。以往的研究已提出了一些基于特定信号（如振动、声发射（AE）和瞬时角速度（IAS））的故障严重度评估方法，但这些方法的性能尚未进行比较，尤其是其在追踪自然增长的剥落层严重程度方面的能力。本文在相同的试验台上对四种测量方法进行了测试，并分别分析和比较了它们产生的信号。结果表明，IAS和径向载荷（作为位移的代理指标）处理起来所需较少，即可可靠地评估轴承故障严重程度； 而加速度则需要复杂的技术来提取剥落层尺寸估计值； 相比之下，声发射（AE）无法准确跟踪故障的发展过程。 |
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