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A quadratic penalty item optimal variational mode decomposition method based on single-objective salp swarm algorithm

机译：基于单目标salp算法的二次惩罚项最优变分模式分解方法

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摘要

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.
机译：提出了一种基于单目标salp swarm算法（SSA）的二次惩罚项最优变分模式分解（VMD）方法，以减轻复杂振动信号的模式混合。提出了一种新颖的频域模式混合密度，以定量测量固有模式函数（IMF）之间的模式混合严重性。然后，通过将相关系数整合到频域模式混合密度中来构造目标函数。基于SSA，通过目标函数获得最优的二次惩罚项。这种方法的优点是减轻了模式混合，并在没有先验知识的情况下保持了复杂振动信号的信号保真度。实验结果证明了该方法的有效性。

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