24

所属分类:人工智能/神经网络/深度学习
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文件大小:354KB
下载次数:11
上传日期:2012-12-03 20:45:49
上 传 者gogspe
说明:  将高阶时频表示引入机械故障诊断领域。介绍了Wigner 高阶矩谱(WHOS)的概念、定义。针对多分量信号Wigner 高阶矩谱的交叉项会产生“虚假信号”,结合局域波法, 提出了一种抑制WHOS交叉项的新方法。首先对复杂信号进行预处理, 利用局域波分解方法把其分解成有限个具有单分量特性的基本模式分量,然后对每个基本模式分量计算WHOS。该方法能有效抑制WHOS时频分布的交叉项。通过仿真实验和转子的故障实验,以Wigner 双谱为例, 验证了该方法的实用性,为故障诊断的特征提取提供了新的工具
(Higher order time-frequency representation introduced the field of mechanical fault diagnosis. Wigner higher order moment spectrum (WHOS) introduced the concept of definition. Wigner higher order moment spectrum of multi-component signal cross terms will produce " false signal" , combined with local wave method, a new method of an inhibitory the WHOS cross items. First of complex signal preprocessing, local wave decomposition method to decompose into a finite number of single component characteristics the basic mode component, and then for each mode component calculated WHOS. This method can effectively inhibit WHOS cross terms of the frequency distribution. Experiment by simulation and the fault of the rotor, Wigner bispectrum, for example, verify the usefulness of the method, provided a new tool for the fault diagnosis feature extraction)

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24.pdf (378911, 2012-09-26)

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