Distributed bearing fault diagnosis based on vibration analysis
Distributed bearing fault diagnosis based on vibration analysis
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DOI：
10.1016/j.ymssp.2015.06.007
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发表时间：
2016-01-01
影响因子：
8.4
通讯作者：
Juricic, Dani
中科院分区：
文献类型：
--
作者：
Dolenc, Bostjan;Boskoski, Pavle;Juricic, Dani
分布轴承故障出现在各种情况下，例如由于电侵蚀或局部故障的进展。具有分布故障的轴承往往比具有局部故障的轴承产生更复杂的振动模式。尽管此类故障频繁发生，但其诊断却引起了有限的关注。本文研究了一种基于振动分析的分布式轴承故障诊断方法。通过结合轴承部件的几何缺陷对产生的振动模式进行建模。比较振动信号的包络谱，可以区分局部故障和分布故障。在此基础上，提出了一种分布式故障的诊断方法。这是在几个具有自然出生的分布故障的轴承上进行评估的，并将其与无故障轴承和具有局部故障的轴承进行比较。实验表明，从无故障、局部和分布故障条件下的振动中提取的特征形成了清晰的可分离簇，从而可以进行诊断。(C) 2015 Elsevier Ltd.版权所有。
Distributed bearing faults appear under various circumstances, for example due to electroerosion or the progression of localized faults. Bearings with distributed faults tend to generate more complex vibration patterns than those with localized faults. Despite the frequent occurrence of such faults, their diagnosis has attracted limited attention. This paper examines a method for the diagnosis of distributed bearing faults employing vibration analysis. The vibrational patterns generated are modeled by incorporating the geometrical imperfections of the bearing components. Comparing envelope spectra of vibration signals shows that one can distinguish between localized and distributed faults. Furthermore, a diagnostic procedure for the detection of distributed faults is proposed. This is evaluated on several bearings with naturally born distributed faults, which are compared with fault-free bearings and bearings with localized faults. It is shown experimentally that features extracted from vibrations in fault-free, localized and distributed fault conditions form clearly separable clusters, thus enabling diagnosis. (C) 2015 Elsevier Ltd. All rights reserved.