Acoustic feature extraction of radiation pressure signal induced by bubble oscillation under dual-frequency acoustic excitation based on CEEMDAN and bubble entropy  

作　　者：Xianghao Zheng Yuning Zhang Yiming Li 

机构地区：[1]College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China [2]Key Laboratory of Power Station Energy Transfer Conversion and System,Ministry of Education,North China Electric Power University,Beijing 102206,China [3]Department of Engineering,University of Cambridge,Cambridge CB21PZ,United Kingdom

出　　处：《International Journal of Fluid Engineering》2024年第4期139-150,共12页国际流体工程(英文)

基　　金：financially supported by the Scientific Research Starting Foundation of Fuzhou University(Project No.511429)

摘　　要：Acoustic feature extraction of radiation pressure signals(RPSs)induced by bubble oscillations is a crucial task in the characterization of the properties of underwater objects.In this article,to improve the extraction accuracy,the complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)and bubble entropy(BE)algorithms are combined to extract the effective acoustic components of the RPS.For verification,the proposed extraction scheme is applied to a typical simulated RPS under dual-frequency acoustic excitation.Compared with other extraction methods,CEEMDAN can extract richer acoustic feature information from the RPS,including accurate values for the amplitude and period of oscillation.Furthermore,when the components of the simulated RPS become more complex,the CEEMDAN–BE scheme gives better evaluation results than other schemes in terms of three evaluation indices.Under complex conditions,the signal extraction performances of singular value decomposition and ensemble empirical mode decomposition decrease greatly,but CEEMDAN retains its high signal extraction efficiency,which further confirms the effectiveness of the proposed signal extraction scheme.

关 键 词：CEEMDAN ENTROPY BUBBLE 

分 类 号：TB56[交通运输工程—水声工程]