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HIGH PRECISION
MODAL PARAMETER
IDENTIFICATION
BASED ON LAPLACE
WAVELET
CORRELATION FILTERING
QI Keyu1 XIANG Jiawei1 ZI Yanyang1 HE Zhengjia2
(1. School of Mechanical Engineering,
Xi’an Jiaotong University, Xi’an 710049;
2. State Key Laboratory for Manufacturing
Systems Engineering, Xi’an Jiaotong University,
Xi’an 710049)
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Abstract: Focused on the modal parameter identification from impulse response signals, a novel method of modal parameters identification based on Laplace wavelet correlation filtering is proposed. Using EMD method, the response signals of structure are firstly decomposed into several uncoupled signals, vibrating at a natural frequency. Secondly, the Laplace wavelet correlation filtering method is employed to identify modal parameters from each uncoupled signal. The computing results of simulative signals show that the proposed method can not only identify accurate damped natural frequency parameters, but also identify the damping ratio with high precision. The analyzing results of experiment signals show that the proposed method is also effective in practical application.
Key words: Modal parameter identification Laplace wavelet
Empirical mode decomposition (EMD)
Correlation filtering
CLC No: O327 TN911
国家自然科学基金(50335030, 50575171, 50505033), 国家重点基础研究发展计划(973计划, 2005CB724106)和教育部高校博士点基金(20040698026)资助项目. Received 20060906, received in revised form 20070320
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