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| Similar Frequency Signal Separation Based on VMD and Singular Value Decomposition |
| XING Ting-ting1,2,Guan Yang1,LIU Zi-han1,FAN Feng-jie1,MENG Zong1 |
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 |
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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.
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Received: 15 October 2019
Published: 02 November 2020
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2020, Vol. 41 
