关键词: 蜜獾优化算法, 动态莱维飞行, 变分模态分解, 管道泄漏, 非线性密度因子 

Abstract: A novel decomposition method that combines the improved LHBA (Levy Honey Badger Algorithm) and VMD ( Variational Mode Decomposition) algorithm is proposed. This method is designed to solve the unsatisfactory noise reduction effect caused by inaccurate parameter selection of the VMD algorithm during signal decomposition. Firstly, the LHBA algorithm is utilized to optimize the decomposition mode number K and penalty factor α of VMD. Secondly, the optimized parameters are applied to decompose the VMD signal. Finally, the effective modal component for signal denoising is chosen after calculating the HD ( Hausdorff Distance) between each modal component and the original signal. The experimental results indicate that the proposed method can entirely distinguish the signal component from the noise for simulation signals. Thus, the four evaluation indices of the method are superior when compared to HBA( Honey Badger Algorithm) -VMD, GA(Genetic Algorithm) -VMD, and PSO( Particle Swarm Optimization) -VMD, demonstrating the algorithm's efficiency and superiority. 

Key words: honey badger algorithm, dynamic levy flight, variational mode decomposition, pipeline leakage, nonlinear density factor