THE APPLICATION OF SOME NON-LINEAR METHODS IN ROTATING MACHINERY FAULT DIAGNOSIS
THE APPLICATION OF SOME NON-LINEAR METHODS IN ROTATING MACHINERY FAULT DIAGNOSIS
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DOI：
10.1006/mssp.2000.1316
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发表时间：
2001-07
影响因子：
8.4
通讯作者：
William Wang;J. Chen;Xin Wu;Zongxiao Wu
中科院分区：
文献类型：
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作者：
William Wang;J. Chen;Xin Wu;Zongxiao Wu
本文从诊断实践的角度，对旋转机械的几种非线性诊断方法进行了介绍和评价。这些方法包括伪相图法、奇异谱分析法和关联维数法。伪相图简单、易于绘制，对某些故障类型比较敏感。奇异谱分析可以揭示信号的复杂性。利用奇异谱分析可以降低信号的噪声。关联维可以提供潜在动力系统的一些内在信息，可以用来智能地进行故障分类。实例表明，这些方法在非线性诊断领域都是有利的。因此，为了有效地进行故障诊断，除了目前常用的方法，如轨道图、FFT谱、时频分析等之外，采用非线性诊断方法是相当合理的。
Abstract In this paper, some non-linear diagnostic methods for rotating machinery are introduced and evaluated from the view of diagnostic practice. The methods are pseudo-phase portrait, singular spectrum analysis and correlation dimension. The pseudo-phase portrait is simple, easy to draw, and is sensitive to some fault types. Singular spectrum analysis can reveal the complexity of a signal. By means of singular spectrum analysis one can reduce the noise of a signal. Correlation dimension can provide some intrinsic information of an underlying dynamical system, and can be used to classify different faults intelligently. Examples show that all these methods are advantageous in the field of non-linear diagnostics. Therefore, it is quite reasonable for effective fault diagnosis to use non-linear diagnostic methods in addition to the methods currently used, such as orbit portrait, FFT spectra, time–frequency analysis, etc.