期刊文献+

基于小波变换的补燃循环火箭发动机模态参数辨识 被引量:1

The modal parameters identification of the staged combustion rocket engine based on wavelet transform
下载PDF
导出
摘要 文中阐述基于小波变换的结构模态参数辨识方法的基本原理。首先介绍Heisenberg测不准原理,该原理限制了时频能量的同时集中。因小波变换的窗口可以随信号特征不同而变化,符合实际信号的要求。然后论述利用小波脊线的方法识别单自由度和多自由度系统的模态参数的理论。将该方法应用于某型补燃循环液体火箭发动机模态参数辨识中,得到了误差小于3%的前7阶固有频率,并且利用Hilbert变换的方法验证该发动机具有线性系统的特征。小波变换法无需采用复杂的激振设备,只使用响应信号,避免功率泄露和频率混叠等因素的影响。而且该方法可以应用到液体火箭发动机工作环境下的识别。 This paper expounds the principle of the structural modal parameter identification based on the wavelet transform.First it introduces the Heisenberg uncertainty principle.The principle limits the same concentration of time and frequency energy.However,the window of the wavelet transform can vary with the signal characteristics.Therefore,it is consistent with the requirements of the actual signal.Then the paper describes the theory of wavelet ridge identifying the single-degree-of-freedom and multi-degree-of-freedom systems.And it is applied to the modal parameters identification of the staged combustion cycle rocket engine.The first 7 natural frequencies,the errors of which are less than 3% are obtained.And the paper uses the Hilbert transform to verify that the engine has the characteristic of linear systems.The wavelet transform doesn't need to use the complex excitation equipment,only uses the response signal.So it can avoid the power leakage,frequency aliasing and other unfavorable factors.Besides,it can be used for the engine parameters identification in the working environment.
出处 《地震工程与工程振动》 CSCD 北大核心 2011年第4期150-157,共8页 Earthquake Engineering and Engineering Dynamics
关键词 小波变换 模态参数辨识 非线性检测 wavelet transformation modal parameters identification the nonlinear test
  • 相关文献

参考文献6

二级参考文献20

  • 1黄道琼,张继桐,郭景录.结构动态特性仿真在液体火箭发动机中的应用[J].火箭推进,2003,29(3):4-10. 被引量:1
  • 2黄方林,何旭辉,陈政清,王修勇,高赞明,倪一清.随机减量法在斜拉桥拉索模态参数识别中的应用[J].机械强度,2002,24(3):331-334. 被引量:21
  • 3闫兵,董大伟,华春蓉,王金诺.一种滤除衰减简谐振动信号中奇异点的新方法[J].振动工程学报,2005,18(1):95-98. 被引量:1
  • 4Ruzzene M, Fasana A, Garibaldi L, Piombo B. Natural frequencies and dampings identification using wavelet transform: application to real data [ J ]. Mechanical Systems and Signal Processing, 1997, 11 (2) : 207-218.
  • 5Thien-Phu Le, Pierre Argoul. Continuous wavelet transform for modal identification using free decay response[J]. Journal of Sound and Vibration, 2004, 277: 73-100.
  • 6Yang J N, Lei Y. Identification of natural frequencies and damping ratios of linearstructures via Hilbert transform and empirical mode decomposition [C]//Proceedings of the IASTED International Conference on Intelligent Systems and Control: Santa Barbara, Califomia, USA. Anaheim, CA: IASTED/Acta Press, 1999: 310-315.
  • 7Chen J, Xu Y L. Hilbert-Huang transfo-rm for damping ratio identification of structures with closely spaced modes ofvibration[ J]. Advances in Building Techno-logy, 2002, 2: 1107-1114.
  • 8Huang N E, Shen Z, Long S R, et al. The empirical mode de-composition and Hilbert spectrum for nonlinear and nonstationary time series analysis[J]. Proceedings of the Royal Society of London-Series A, 1998, 454-: 903-995.
  • 9[2]Basic Dynamic Analysis User's Guide[M].美国MSC公司,1997.
  • 10Staszewski W J.Identification of damping in MDOF systems using time-scale decomposition[J].Journal of Sound and Vibration,1997,203(2):283-305.

共引文献39

同被引文献10

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部