LHBA优化VMD降噪算法及在管道泄漏信号中的应用  

LHBA Optimized VMD Denoising Algorithm and Its Application in Pipeline Leakage Signal

作　　者：王冬梅[1,2] 何壮 柴永康 孙颖 路敬祎[1,2,3] WANG Dongmei;HE Zhuang;CHAI Yongkang;SUN Ying;LU Jingyi(School of Electrical and Information Engineering,Northeast Petroleum University,Daqing 163318,China;Heilongjiang Provincial Key Laboratory of Networked and Intelligent Control,Northeast Petroleum University,Daqing 163318,China;Sanya Offshore Oil and Gas Research Institute,Northeast Petroleum University,Sanya 572024,China)

机构地区：[1]东北石油大学电气信息工程学院,黑龙江大庆163318 [2]东北石油大学黑龙江省网络化与智能控制重点实验室,黑龙江大庆163318 [3]东北石油大学三亚海洋油气研究院,海南三亚572024

出　　处：《吉林大学学报（信息科学版）》2023年第6期961-968,共8页Journal of Jilin University（Information Science Edition）

基　　金：国家自然科学基金资助项目(61873058,62103096);海南省科技专项基金资助项目(ZDYF2022SHFZ105);海南省自然科学基金资助项目(623MS071)。

摘　　要：针对变分模态分解(VMD:Variational Mode Decomposition)算法在分解信号时参数选择不准确导致降噪效果不理想的问题,提出一种改进的蜜獾优化算法(LHBA:Levy Honey Badger Algorithm)与VMD结合的降噪算法。首先,利用LHBA算法优选VMD的分解模态数K和惩罚因子α;其次,利用优化后的参数进行VMD信号分解;最后,计算各模态分量与原始信号之间的豪斯多夫距离(HD:Hausdorff Distance),选取有效模态分量进行信号降噪处理。实验结果表明,该算法与HBA(Honey Badger Algorithm)-VMD、 GA(Genetic Algorithm)-VMD和PSO(Particle Swarm Optimization)-VMD相比,其4种评价指标均优于其他对比算法,具有较好的降噪效果,验证了该算法的有效性和先进性。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.

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 

分 类 号：TN911.7[电子电信—通信与信息系统]