A quadratic penalty item optimal variational mode decomposition method based on single-objective salp swarm algorithm
By Xinlong Zhao, Peng Wu, Xiu-xing Yin. 2020
51 citations recorded by the source corpus.
Abstract A quadratic penalty item optimal variational mode decomposition (VMD) method based on single-objective salp swarm algorithm (SSA) is proposed to alleviate the mode mixing of complex vibration signals. A novel frequency domain mode mixing density is proposed to quantitatively measure the mode mixing severity between intrinsic mode functions (IMFs). Then, an objective function is constructed by integrating correlation coefficient into frequency domain mode mixing density. Based on the SSA, the optimal quadratic penalty item is obtained through the objective function. The merits of this method are the alleviation of the mode mixing and maintenance of the signal fidelity for complex vibration signal without prior knowledge. Experimental results demonstrate the effectiveness of the proposed method.
Subfields: Automotive Engineering, Civil and Structural Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/851d9bf73a9530cdf659004ef12e6740375f45a3
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In Control and Systems Engineering
Citations in the corpus
- Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis (2023, methodology): “To eliminate the mode mixing or redundant modes, the modes with the biggest CC are firstly locked since a higher CC means the two modes contain more same components [26], [27].”