压缩感知在斜轴式马达声强成像中的应用研究  

Application of Compressed Sensing in Sound Intensity Imaging of Bent-Axis Motor

作　　者：陈淑梅[1] 罗远明 黄惠[1] 吴干永 黄秋芳 钱聪 杜恒[1] 张志忠[1] CHEN Shumei;LUO Yuanming;HUANG Hui;WU Ganyong;HUANG Qiufang;QIAN Cong;DU Heng;ZHANG Zhizhong(School of Mechanical Engineering and Automation/Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control of Fujian Province University,Fuzhou University,Fuzhou 350108,Fujian,China;FULONGMA GROUP Co.,Ltd.,Longyan 364028,Fujian,China)

机构地区：[1]福州大学机械工程及自动化学院/流体动力与电液智能控制福建省高校重点实验室,福建福州350108 [2]福龙马集团股份有限公司,福建龙岩364028

出　　处：《华南理工大学学报（自然科学版）》2024年第4期68-76,共9页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(52105053);福建省自然科学基金面上项目(2020J01452);福建省高校产学研联合创新项目(2022H6007);福建省中央引导地方科技发展资金资助项目(2022L3070)。

摘　　要：斜轴式轴向柱塞马达内部噪声源距离较近,如马达配流盘进、出油口间的距离为38 mm,且马达噪声源存在同频及倍频现象。斜轴式马达内部密集复杂的噪声源,导致频谱分析方法难以准确识别同频及倍频信号,传统声强测量的最高分辨率为50 mm,无法满足马达内部噪声源的辨识精度要求。针对传统方法难以准确辨识马达噪声源的问题,文中提出了一种基于压缩感知的声强测量方法,将压缩感知理论运用于声强云图高精度重构中,获取马达高分辨率的声强重构图像。首先,通过对斜轴式马达进行噪声辐射仿真分析,获取其外表面声场特性;然后,以马达外表面声强云图为先验信息,设计应用于马达声场的压缩感知框架,获取高精度重构马达声强云图;最后,通过马达传统声强测量与压缩感知声强测量的对比实验验证压缩感知理论对于提高马达噪声源辨识精度的可行性。结果表明,基于压缩感知的声强测量方法将马达噪声源辨识尺度从原来的70 mm提升至30 mm,提高了马达噪声源的辨识精度,实现了马达噪声源的高精度定位。The internal noise sources of the bent-axis piston motor are close in distance.For example,the distance between the inlet and outlet of the motor valve plate is 38 mm,and the noise sources have the same frequency and multiple frequency phenomenon.The dense and complex noise sources in the bent-axis motor cause difficulties for the spectrum analysis method to accurately identify the same frequency and multiple frequency signals.The maximum resolution of traditional sound intensity measurement is 50 mm,which cannot meet the requirement of identification accuracy of motor internal noise source.Aiming at the problem that the traditional methods are difficult to identify the motor noise sources accurately,this paper proposed a sound intensity measurement method based on compressed sensing.The compressed sensing theory was applied to the high-precision reconstruction of sound intensity image to obtain the high-resolution sound intensity reconstruction image of the motor.Firstly,the noise radiation simulation of the bent-axis motor was carried out to obtain the characteristics of its external surface sound field.Then,based on the sound intensity image for the motor,a compressed sensing frame applied to the motor sound field was designed to obtain the sound intensity cloud image of the motor with high precision.Finally,the feasibility of the compressed sensing theory to improve the identification accuracy of motor noise source was verified by comparing the traditional acoustic intensity measurement with the compressed sensing acoustic intensity measurement.The results show that the identification scale of motor noise sources are improved from 70 mm to 30 mm by the sound intensity measurement method based on compressed sensing,which improves the accuracy of motor noise sources identification and realizes the high precision location of motor noise sources.

关 键 词：斜轴式马达 压缩感知 声强测量 声源高精度定位 

分 类 号：TH137.51[机械工程—机械制造及自动化]