The research on local oscillatory-characteristic decomposition of the mode mixing problem

被引：0
|
作者：
Wu J.-T. [1 ]
Lu X.-X. [1 ]
Zhang K. [1 ]
Su Y.-M. [1 ]
机构：
[1] School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha
来源：
Zhang, Kang (Zhangkang513@163.com) | 1600年 / Nanjing University of Aeronautics an Astronautics卷 / 29期
关键词：
Fault diagnosis; Filter bank; Local oscillatory-characteristic decomposition; Mode mixing; Mono-oscillatory components;
D O I：
10.16385/j.cnki.issn.1004-4523.2016.02.022
中图分类号：
学科分类号：
摘要：
The local oscillatory-characteristic decomposition (LOD) method is a newly proposed adaptive time-frequency analysis method. This method is based on time-scale characteristics of signal itself, and it uses the operations including differential, coordinates domain transform and piecewise linear transform to decompose the signal into a series of mono-oscillatory components (MOC) which instantaneous frequency has physical meanings. However, LOD will generate a problem that phenomenon of mode mixing, making the results of the signal is deprived of real physical significance. In order to resolved the problem of mode mixing, LOD was used to decompose simulation signal and analysis statistical properties of white noise so as to obtain the LOD filter group structure. And on the basis of ensemble EMD (EEMD), through to the target signal keep adding different white noise, to resolve the LOD mode mixing. The analysis of results from simulated signal and experimental signal indicate that this noise-assisted LOD method can be eliminate the mode mixing of the LOD method effectively. © 2016, Nanjing University of Aeronautics an Astronautics. All right reserved.
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页码：356 / 365
页数：9
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