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作 者:方夫民 柳小勤[1,2] 伍星 郭祥[1,2] FANG Fumin;LIU Xiaoqin;WU Xing;GUO Xiang(School of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China;Key Laboratory for Advanced Equipment Intelligent Manufacturing Technology of Yunnan Province,Kunming University of Science and Technology,Kunming 650500,China)
机构地区:[1]昆明理工大学机电工程学院,昆明650500 [2]云南省先进装备智能制造技术重点实验室,昆明650500
出 处:《机械科学与技术》2024年第2期291-296,共6页Mechanical Science and Technology for Aerospace Engineering
基 金:国家自然科学基金项目(51875272)。
摘 要:针对难以准确分离同频率双声源及计算声功率值的问题,提出三维声强矢量与质点振速的常规波束形成技术结合的声源识别方法,应用于同频率双声源的定位与声功率分离中。利用三维声强矢量特性求解各探头中心处质点振速与声强值;将质点振速引入常规波束形成对各声源定位;将定位结果代入三维声强矢量分解法中,构建声强、声功率的非线性方程组,求解得各声源声功率值。在半消声室内进行实验,实验结果表明:质点振速波束形成的声源定位方法可行,三维声强矢量方程组求解各声源声功率值误差在5%以内。Aiming at the problem of separation of two sound sources with the same frequency and calculation of sound power,a sound source recognition method combining three-dimensional sound intensity vector with conventional beamforming technology of particle vibration velocity is proposed,which is used for sound source localization and sound power separation.The particle vibration velocity and the sound intensity value are solved by the sound intensity characteristics;the particle vibration velocity is introduced into the conventional beamforming to locate the sound source;the positioning result is substituted into the nonlinear equation system of sound intensity and sound power to solve the sound power value of each sound source.Experiments in a semianechoic chamber show that the sound source positioning method of particle vibration velocity beamforming is feasible,and the error of solving the sound power value is within 5%.
分 类 号:TH73[机械工程—仪器科学与技术]
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