三阶累积量耦合特征在故障诊断中的应用

Wen-bing Wu, Rihua Liu
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引用次数: 0

摘要

尽管机械振动极其复杂,但它产生的每个故障信号都有其固有的特征,隐藏在这些特征中的某些分量与正常信号的相同分量之间的区别可能最为突出。三阶累积量可以自动降低高斯背景噪声,其复数形式包括其信号的不同耦合信息。在实验中,通过这些不同的耦合模式,从特定的故障信号和正常信号中提取相同的耦合分量,然后将这些分量用于诊断特定的故障。结果表明,该方法能够获得正常信号和特定故障信号之间最显著的区别,因此该方法对特定故障的诊断是令人满意的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Three Order Cumulants Coupling Features in Fault Diagnosis
Although mechanical vibration is extremely complicated, each fault signal produced by it has its own inherent features, The distinction may be most prominent between the certain components hidden in those features and the same components of normal signals. Three-order cumulant can reduce the Gaussian background noise automatically and its complex formal includes different coupling information of its signal. In the experiment, through these different coupling modes, the same coupling components are fetched from specific fault signal and normal signal, then these components are used to diagnose that certain fault. The results show that the method can fetch the most prominent distinction between normal signal and the specific fault signal, so the specific fault diagnosis by this method is satisfactory.
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