| IDENTIFICATION OF TIME-VARYING MODAL PARAMETERS USING LINEAR TIME-FREQUENCY REPRESENTATION |
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| 作者姓名： | Xu Xiuzhong |
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| 作者单位： | Xu Xiuzhong
Department of Mechanical Engineering，Shanghai Maritime University，Shanghai 200135，China
Zhang Zhiyi Hua Hongxing
National Key Laboratory of Vibration
Shock & Noise，Shanghai Jiaotong University，Shanghai 200030，China
Chen Zhaoneng
School of Mechanical Engineering，Shanghai Jiaotong University，Shanghai 200030，China |
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| 基金项目： | Automobile Industrial Science Foundation of Shanghai (No.2000187) |
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| 摘 要： | A new method of parameter identification based on linear time-frequency representation andHilbert transform is proposed to identify modal parameters of linear time-varying systems frommeasured vibration responses. Using Gabor expansion and synthesis theory measured responses arerepresented in the time-frequency domain and modal components are reconstructed by time-frequencyfiltering. The Hilbert transform is applied to obtain time histories of the amplitude and phase angle ofeach modal component, from which time-varying frequencies and damping ratios are identified. The
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| 关 键 词： | 线性时间变化系统 参数模式识别 Hilbert变换 Gabor膨胀 结构振动 |
IDENTIFICATION OF TIME-VARYING MODAL PARAMETERS USING LINEAR TIME-FREQUENCY REPRESENTATION |
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| Xu Xiuzhong.IDENTIFICATION OF TIME-VARYING MODAL PARAMETERS USING LINEAR TIME-FREQUENCY REPRESENTATION[J].Chinese Journal of Mechanical Engineering,2003,16(4):445-448. |
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| Authors: | XuXiuzhong ZhangZhiyi HuaHongxing ChenZhaoneng |
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| Abstract: | A new method of parameter identification based on linear time-frequency representation and Hilbert transform is proposed to identify modal parameters of linear time-varying systems from measured vibration responses. Using Gabor expansion and synthesis theory, measured responses are represented in the time-frequency domain and modal components are reconstructed by time-frequency filtering. The Hilbert transform is applied to obtain time histories of the amplitude and phase angle of each modal component, from which time-varying frequencies and damping ratios are identified. The proposed method has been demonstrated with a numerical example in which a linear time-varying system of two degrees of freedom is used to validate the identification scheme based on time-frequency representation. Simulation results have indicated that time-frequency representation presents an effective tool for modal parameter identification of time-varying systems. |
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| Keywords: | Linear time-varying system Modal parameter identification Hilbert transform Gabor expansion |
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