Study on Modal Parameters Identification Based on Stratified Sampling and Complex Morlet Wavelet Transform

Yong Hua Jiang; Hong Xu; Guang Ming Cheng; Jian Ming Wen; Ji Jie Ma

doi:10.4028/www.scientific.net/AMR.305.428

Paper Titles

Study on Processing Technology of Waste Tire Crumb Rubber Modified Asphalt
p.402

Finite Elements Simulation Analysis and Research on the Mast of Rotary Drilling Rig
p.406

A Research Based on the Deep Self-Balanced Hydraulic Pump
p.411

Theoretical Calculation and Experimental Research on Sequential Turbocharging of a Marine Diesel Engine
p.416

Analysis Geometric Precision of Workpiece and Geometric Errors Model of 5-Axis Machining Center for Processing Turbo Molecular Pump Rotor
p.423

Study on Modal Parameters Identification Based on Stratified Sampling and Complex Morlet Wavelet Transform
p.428

Design and Implementation of Engineering Graphics Computer Practice and Examination System that Based on Visual Basic
p.434

Technique Project and Experimental Study of Gas-Particle Two-Phase Compulsive Circulation Flows Finishing
p.438

Topology Optimization of Headstock of Heavy Machine Tool
p.442

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 305Study on Modal Parameters Identification Based on...

Study on Modal Parameters Identification Based on Stratified Sampling and Complex Morlet Wavelet Transform

Abstract:

The natural frequency of large engineering structures are very low and closely, and it’s very difficult to excite the structures by exciter, in order to identify the modal parameters of large engineering structures, a novel modal parameters identification method based on stratified sampling and complex Morlet wavelet transform is proposed. In order to improve the precision of sampling, stratified sampling, which replaces the random sampling, is applied on random decrement method for extracting the free decrement response signal, and a method is introduced to determine the sample layer weights based on fitting deviation and sample size. In order to improve the identification precision of closely spaced modals, a method is developed to adaptive select the bandwidth parameter and scale parameter of the Morlet wavelet based on the principle of minimum wavelet energy entropy and maximum energy. The analysis of data from the model test of Chongqing Chaotianmen bridge show that, the method is effective to identify the low and closely modal parameters.

You might also be interested in these eBooks

Progress in Manufacturing Automation Technologies

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 305)

Pages:

428-433

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.305.428

Citation:

Cite this paper

Online since:

July 2011

Authors:

Yong Hua Jiang, Hong Xu, Guang Ming Cheng, Jian Ming Wen, Ji Jie Ma

Keywords:

Closely Spaced Modal, Complex Morlet Wavelet Transform, Modal Parameter Identification, Stratified Sampling

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

Сopyright:

References

[1] B. Liu, H. Ding and Z.M. Shi: Journal of Vibration and Shock, Vol. 26 (2007) No. 7, pp.27-31.

Google Scholar

[2] T.P. Le and P. Argoul: Journal of Sound and Vibration, Vol. 277 (2004) No. 1, pp.73-100.

Google Scholar

[3] T.L. Huang and M.L. Lou: Journal of Vibration and Shock, Vol. 25 (2006) No. 5, pp.149-152.

Google Scholar

[4] L. Jin and L.S. Qu: Sound and Vibration, Vol. 234 (2000) No. 1, pp.135-148.

Google Scholar

[5] F.B. Chen, B.P. Tang and Y.M. Zhong: Journal of Vibration and Shock, Vol. 27 (2008) No. 2, pp.91-94.

Google Scholar

[6] Q.Y. He, B.P. Tang and F.B. Chen: China Mechanical Engineering, Vol. 18 (2007) No. 10, pp.2476-2480.

Google Scholar

[7] T. Kijewski and A. Kareem: Computer-aided Civil and Infrastructure Engineering, Vol. 18 (2003), pp.339-355.

DOI: 10.1111/1467-8667.t01-1-00312

Google Scholar

[8] B.F. Yan, A. Miyamoto and E. Bruhwiler: Journal of Sound and Vibration, Vol. 291 (2006) No. 1, pp.285-301.

Google Scholar