A comparison of correlation technique and random decrement algorithm for modal identification from nonstationary ambient vibration data only

Chang Sheng Lin, Tse Chuan Tseng, June Rong Chen, Dar Yun Chiang

研究成果: Conference contribution

摘要

Modal identification from response data only is studied for structural systems under nonstationary ambient vibration. By assuming the ambient excitation to be nonstationary white noise in the form of a product model and introducing a technique of curve fitting, the practical problem of insufficient data samples available for evaluating nonstationary correlation functions or randomdec signatures can be approximately resolved by first extracting the amplitude-modulating function from the response and then transforming the nonstationary responses into stationary ones. Modal-parameter identification can then be performed using the Ibrahim time-domain method in conjunction with the correlation technique and random decrement algorithm, respectively. A comparison of correlation technique and random decrement algorithm is demonstrated through numerical simulations, which also confirm the validity of the proposed method for identification of modal parameters from nonstationary ambient response data.

原文English
主出版物標題Intelligent Technologies and Engineering Systems
頁面755-764
頁數10
DOIs
出版狀態Published - 2013 八月 8
事件2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012 - Changhua, Taiwan
持續時間: 2012 十二月 132012 十二月 15

出版系列

名字Lecture Notes in Electrical Engineering
234 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012
國家Taiwan
城市Changhua
期間12-12-1312-12-15

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • 引用此

    Lin, C. S., Tseng, T. C., Chen, J. R., & Chiang, D. Y. (2013). A comparison of correlation technique and random decrement algorithm for modal identification from nonstationary ambient vibration data only. 於 Intelligent Technologies and Engineering Systems (頁 755-764). (Lecture Notes in Electrical Engineering; 卷 234 LNEE). https://doi.org/10.1007/978-1-4614-6747-2_87