1. Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
2. Tangshan Polytechnic College, Tangshan, Hebei 063000, China
Abstract：Similar frequency signal separation is a difficult problem in fault diagnosis. As a new method of signal time frequency analysis, variational mode decomposition (VMD) has a higher resolution for signals with similar frequency. The number of decomposition levels, which can directly affect the decomposability, is first specified in VMD. Once over-decompose is likely to produce false frequency components, while under-decompose is easy to lose useful frequency components. Thus, a new method of similar frequency signal separation based on VMD and signal singular value decomposition is proposed. Firstly, appropriate decomposition levels is selected to over-decompose the signal, and then singular value decomposition is carried out on the components obtained by VMD, which can detect and eliminate false signal components, so as to separate similar frequency signal well. The effectiveness and feasibility of the proposed method are demonstrated by simulation signal and rolling bearing fault signal.
作者简介: 邢婷婷(1984-), 河北邢台人, 燕山大学博士研究生, 研究方向为振动信号时频分析和机械设备故障诊断等。Email: xttysu2016@sina. com
引用本文:
邢婷婷,关阳,刘子涵,樊凤杰,孟宗. 基于变分模态分解和奇异值分解的频率相近信号分离方法[J]. 计量学报, 2020, 41(11): 1404-1409.
XING Ting-ting,Guan Yang,LIU Zi-han,FAN Feng-jie,MENG Zong. Similar Frequency Signal Separation Based on VMD and Singular Value Decomposition. Acta Metrologica Sinica, 2020, 41(11): 1404-1409.
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2020, Vol. 41 
