| 基于小波变换的补燃循环火箭发动机模态参数辨识 |
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| 引用本文： | 杜飞平,谭永华,陈建华.基于小波变换的补燃循环火箭发动机模态参数辨识[J].地震工程与工程振动,2011,31(4):150-157. |
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| 作者姓名： | 杜飞平 谭永华 陈建华 |
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| 作者单位： | 1. 西安航天动力研究所,陕西西安,710100
2. 航天推进技术研究院,陕西西安,710100 |
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| 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...
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| 关 键 词： | 小波变换 模态参数辨识 非线性检测 |
The modal parameters identification of the staged combustion rocket engine based on wavelet transform |
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| DU Feiping,TAN Yonghua,CHEN Jianhua.The modal parameters identification of the staged combustion rocket engine based on wavelet transform[J].Earthquake Engineering and Engineering Vibration,2011,31(4):150-157. |
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| Authors: | DU Feiping TAN Yonghua CHEN Jianhua |
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| Institution: | 1(1.Xi’an Aerospace Propulsion Institute,Xi’an 710100,China;2.Academy of Aerospace Propulsion Technology,Xi’an 710100,China) |
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| Abstract: | 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. |
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| Keywords: | wavelet transformation modal parameters identification the nonlinear test |
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