一种多分量信号分解方法：时频滤波分解
A Multicomponent Signal Decomposition Method: Time-Frequency Filtering Decomposition
- 电子学报 2024年52卷第8期 页码：2618-2627
- 作者机构：
1.长沙理工大学能源与动力工程学院，湖南长沙 410114
2.华能国际电力股份有限公司湖南清洁能源分公司，湖南长沙 410015
- 作者简介：
[ "张亢 男，1983年11月出生，湖南长沙人.长沙理工大学能源与动力工程学院硕士生导师.主要研究方向为动力机械故障诊断、振动信号处理.出版专著和教材各1部，在国内外发表学术论文40余篇.中国电子学会会员编号：E190131242M.E-mail: zhangklang513@163.com" ]
[ "刘鹏飞 男，1997年11月出生，湖南邵阳人.长沙理工大学能源与动力工程学院硕士研究生.主要研究方向为非平稳信号分析.E-mail: 19119267297@163.com" ]
[ "曹振华 男，1999年8月出生，河南开封人.长沙理工大学能源与动力工程学院硕士研究生.主要研究方向为振动信号分析与处理. E-mail: caozhenhua0@126.com" ]
[ "陈向民 男，1984年8月出生，湖南永州人.长沙理工大学能源与动力工程学院硕士生导师.主要研究方向为机械故障诊断、振动信号处理.E-mail: cxiangming3377@aliyun.com" ]
[ "田泽宇 男，1996年8月出生，湖南岳阳人.华能国际电力股份有限公司湖南清洁能源分公司工程师.主要研究方向为水电机组状态监测.E-mail: zeyutian1996@163.com" ]
- 基金信息：湖南省自然科学基金(2018JJ3541);湖南省教育厅优秀青年项目(21B0347)
DOI：10.12263/DZXB.20230758
中图分类号： TN911.7;收稿：2023-08-04，
修回：2023-11-29，
纸质出版：2024-08-25
- 稿件说明：
移动端阅览
张亢, 刘鹏飞, 曹振华, 等. 一种多分量信号分解方法：时频滤波分解[J]. 电子学报, 2024, 52(08): 2618-2627.
ZHANG Kang, LIU Peng-fei, CAO Zhen-hua, et al. A Multicomponent Signal Decomposition Method: Time-Frequency Filtering Decomposition[J]. Acta Electronica Sinica, 2024, 52(08): 2618-2627.
张亢, 刘鹏飞, 曹振华, 等. 一种多分量信号分解方法：时频滤波分解[J]. 电子学报, 2024, 52(08): 2618-2627. DOI：10.12263/DZXB.20230758
ZHANG Kang, LIU Peng-fei, CAO Zhen-hua, et al. A Multicomponent Signal Decomposition Method: Time-Frequency Filtering Decomposition[J]. Acta Electronica Sinica, 2024, 52(08): 2618-2627. DOI：10.12263/DZXB.20230758
摘要
为解决目前信号分解分量时频域紧邻、重叠和间歇性复杂时频特征的多分量非平稳、非线性信号时，分解困难和效率低的问题，本文提出了一种基于信号时频分布的多分量非平稳信号分解方法——时频滤波分解（Time-Frequency Filtering Decomposition，TFFD）.TFFD通过拟合所选反映信号中各分量时频瞬时特征与规律的时频域基准数据点，得到与分量实际瞬时频率（Instantaneous Frequency，IF）一致的拟合IF曲线，并以拟合IF曲线的时频坐标为基础，设置距离阈值条件确定分量在时频图上的分布区域，构造以拟合IF曲线时频坐标为中心频率、分布区域频宽为通带宽度的时频滤波器组，实现对多分量信号的时频滤波分解.通过对具有代表性时频特征的仿真和实际信号分析，并与经典信号分解方法对比，证明了TFFD方法优良的分解能力和分解效率.
Abstract
The problems of difficulty and low efficiency in decomposing multicomponent nonstationary nonlinear signal with complex time-frequency characteristics such as contiguity
overlap and intermittency in time-frequency domain are solved. Based on the time-frequency distribution of signal
a multicomponent nonstationary signal decomposition method called time-frequency filtering decomposition (TFFD) is proposed. TFFD gets the fitting IF curve which is consistent with the instantaneous frequency (IF) of the components by fitting the time-frequency datum points which can reflect the instantaneous characteristics and laws of the components in the signal. Based on the time-frequency coordinates of fitting IF curve
the distribution area of component is determined by setting the distance threshold condition. Thus
a time-frequency filter bank is constructed
which is based on fitting IF curve time-frequency coordinates as the central frequency and the bandwidth of distribution area as the passband width
to achieve time-frequency filtering decomposition for multicomponent signal. Through the analysis of the simulation and the actual signal with the representative time-frequency characteristics
and the comparison with the classical signal decomposition methods
it is proved that the TFFD method has good decomposition ability and efficiency.
关键词
Keywords
references
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