Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions
Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions
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DOI：
10.1016/j.jsv.2007.02.029
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发表时间：
2007-07-24
影响因子：
4.7
通讯作者：
Antoni, J.
中科院分区：
文献类型：
--
作者：
Antoni, J.
滚动轴承的振动是随机循环平稳的。当出现早期故障时，此属性是如此严重的征兆，因此可以利用它进行诊断。本文讨论了应考虑使用哪些循环谱工具来实现这一目的。具体地说，它证明了循环相干性的最优性，这不仅可以在高水平的背景噪声中证明故障的存在，而且还可以返回其严重程度的相对度量。详细讨论了循环相干性的估计问题，以及它在统计检验和次优简化中的应用。最后指出，熟悉的平方包络谱恰好是具有非常相似诊断能力的循环相干性的特例。(C)2007爱思唯尔有限公司。保留所有权利。
Rolling-element bearing vibrations are random cyclostationary. This property is so symptomatic when an incipient fault develops that it can be exploited for diagnostics. This paper discusses which cyclic spectral tools should be considered for that purpose. Specifically, it demonstrates the optimality of the cyclic coherence, which can not only evidence the presence of a fault in high levels of background noise, but can also return a relative measure of its severity. The estimation issue of the cyclic coherence is addressed in detail, as well as its use in a statistical test, and sub-optimal simplifications. Eventually, it is shown that the familiar squared-envelope spectrum happens to be a special case of the cyclic coherence with very similar diagnostic capabilities. (c) 2007 Elsevier Ltd. All rights reserved.