利用声信号基于HHT方法识别螺旋桨模态参数

摘要
图/表
参考文献(21)
相关文章 (15)

全文: PDF (2113 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要为了对螺旋桨的模态参数进行无接触式测量，首先基于声学边界元方法，建立了螺旋桨在冲击载荷作用下辐射声信号与模态参数之间的数学模型，该模型相比于已公开文献采用的模型，从理论上揭示了采样声信号不必须取自于结构近场。在此基础上，借助希尔伯特-黄变换（Hilbert-Huang Transform,HHT）方法处理非平稳、非线性信号的优势，对采样声信号处理来识别结构模态参数。以一螺旋桨缩尺模型为研究对象，分别采用数值模拟和试验手段对该方法的实用性和有效性进行了验证，并评估了环境噪声的影响程度。结果显示该方法能准确识别模态频率和阻尼比，且具有自适应频率分辨率，为工程上精细结构的模态参数识别提供一种新途径。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	刘正浩1
	2
	丁举1
	2
	毛献群1
	2

关键词 ：螺旋桨, 声信号, 模态参数识别, 希尔伯特-黄变换

Abstract：In order to carry out a non-contact measurement on the modal parameters of a propeller, the relationship between propeller radiating sound signal under shock load and modal parameters is derived, which theoretically break through the limitation that the sound signal used for analyzing must be captured from the near field of structure. After that, the Hilbert-Huang Transform (HHT), with its advantage in processing nonlinear and non-stationary signal, was used for modal parameters identification. In this paper, a scale propeller model was used as a research subject to verify the practicability and validity of this method both by means of numerical simulation and test. Also, the influence of background noise was evaluated. The results show that this method, with its characteristic of self-adaptive frequency resolution, can identify modal frequency and damping ratio accurately, help providing a new way to identify modal parameters for fine structures in engineering.

Key words： propeller sound signal modal parameters identification Hilbert-Huang transform (HHT)

收稿日期: 2021-12-30 出版日期: 2023-02-15

引用本文:

刘正浩1,2，丁举1,2，毛献群1,2. 利用声信号基于HHT方法识别螺旋桨模态参数[J]. 振动与冲击, 2023, 42(3): 57-63.
LIU Zhenghao1,2, DING Ju1,2, MAO Xianqun1,2. Identification of propeller modal parameters using sound signals based on HHT method. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(3): 57-63.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I3/57

[1] 许慧春. 一种新型高阻尼螺旋桨的振动特性研究[D]. 上海交通大学，2017.
[2] WEI Y, WANG Y. Unsteady hydrodynamics of blade forces and acoustic responses of a model scaled submarine excited by propeller's thrust and side-forces[J]. Journal of Sound & Vibration, 2013, 332(8):2038-2056.
[3] 王建政，周庆波，刘亮清，等. 不同的螺旋桨阻尼及柴油机阻尼计算方式对船舶轴系扭振计算的影响分析[C]// 第十三届全国振动理论及应用学术会议. 大连：中国振动工程学会.
[4] 黄政, 熊鹰, 柳凯,等. 复合材料螺旋桨应变模态计算与试验[J]. 海军工程大学学报， 2015, 27(006):27-30.
HUANG Z, XIONG Y, LIU K, et al. Calculation and test of composite propeller′s strain modal. Journal of Naval University of Engineering, 2015.
[5] 王冠，阮竹青，吴武辉. 碳纤维复合材料螺旋桨桨叶模态试验分析[C]// 中国声学学会水声学分会2015年学术会议暨水声学分会工作会议. 武汉：中国声学会水声学分会主，2015.
[6] 王冠，张科. 螺旋桨桨叶模态试验分析. 声学技术，2014.
WANG G, ZHANG K. Experiment modal analysis of propeller blade[J]. Technical Acoustics. 2014.
[7] 吴武辉，潘亚军，张俊杰,等. 基于实船复合材料螺旋桨模态参数识别研究[C]// 中国声学学会水声学分会2015年学术会议暨水声学分会工作会议. 武汉：中国声学会水声学分会主，2015.
[8] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings Mathematical Physical & Engineering Sciences, 1998, 454(1971):903-995.
[9] 洪明，雷川，崔洪宇，等. 环境激励下船舶结构模态参数识别方法综述[J]. 船舶，2014, 29(016):57-66.
HONG M, LEI C, CUI H Y. Review of modal identification of ship structure based on ambient excitation. Ship & Boat, 2014, 29(016):57-66.
[10] 范兴超，纪国宜. 基于希尔伯特变换结构模态参数识别[J].噪声与振动控制,2014,34(03):52-56.
FAN X C, JI G Y. Modal Parameter Identification of Structures Based on Hilbert Transform. Noise and Vibration Control, 2014, 34(03):52-56.
[11] 魏博文，钟紫蒙，李火坤. 基于HHT-RDT算法的高拱坝泄流结构工作模态识别方法[J].振动与冲击，2020,39(10):106-113.
WEI B W, ZHONG Z M, Li H K. Working modal identification method for high arch dam discharge structure based on HHT-RDT algorithm [J]. Journal of Vibration and Shock, 2020, 39(10):106-113.
[12] 夏茂龙，于大鹏，黎胜.利用声压信号基于HHT方法识别结构模态参数[J].船舶力学，2016,20(08):1007-1015.
XIA M L, YU D P, LI S. Identification of structural modal parameters by sound pressure with HHT. Journal of Ship Mechanics, 2016,20(08):1007-1015.
[13] 张海澜. 理论声学: Theoretical acoustics [M]. 高等教育出版社, 2007.
[14] HUANG N, SHEN Z, LONG S R,et al. A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert Spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31(1):417-417.
[15] Yang J N, Lei Y, Pan S, et al. System identification of linear structures based on Hilbert-Huang spectral analysis. Part 1: normal modes [J]. Earthquake Engineering & Structural Dynamics, 2003, 32(9):p.1443-1467.
[16] 祁泉泉，辛克贵，杜运兴，等. HHT方法在结构模态参数识别中的改进[J]. 湖南大学学报(自然科学版)，2011, 38(008):13-18.
QI Q Q, XIN K G, DU Y X, et al. Improvement of HHT in structural modal parameter identification[J]. Journal of Hunan University (Natural Sciences), 2011, 38(8):13-18.
[17] Hahn S L. The hilbert transform of the product a(t) cos(ωot+φo). 1996.
[18] 王嘉梅. 基于MATLAB的数字信号处理与实践开发[M]. 西安电子科技大学出版社，2007.
[19] 李正周. MATLAB数字信号处理与应用[M]. 清华大学出版社，2008.
[20] PREZELJ J, LIPAR P, BELŠAK A,et al. On acoustic very near field measurements[J]. Mechanical Systems and Signal Processing, 2013, 40(1):194-207.
[21] XU Y F, ZHU W D. Operational modal analysis of a rectangular plate using non-contact excitation and measurement[J]. Journal of Sound & Vibration, 2013, 332(20):4927-4939.