A Multi-Degree-of-Freedom System Modal Parameters Wavelet Transform Identification Method

Jian Zhao; Ming Yu; Xin Ke Yu; Ling Li Zhang; Xian Guo Yan

doi:10.4028/www.scientific.net/AMR.476-478.867

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 476-478A Multi-Degree-of-Freedom System Modal Parameters...

A Multi-Degree-of-Freedom System Modal Parameters Wavelet Transform Identification Method

Abstract:

It is precondition for realizing the mechanical dynamic optimization design and the dynamic modification to analyze the characteristic of multi-degree-of-freedom system. The paper discusses a kind of modal parameters wavelet transform identification method based on Modified Particle Swarm Optimization (PSO) algorithm, furthermore, proposes the PSO wavelet ridge extraction algorithm, and gives the formulas identifying modal parameters from a wavelet ridge. The proposed method applies to the dynamic characteristic identification of a flow meter to explore the effectiveness. The results prove the method is precision and insensitive to noise.

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Periodical:

Advanced Materials Research (Volumes 476-478)

Pages:

867-870

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.476-478.867

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Online since:

February 2012

Authors:

Jian Zhao, Ming Yu, Xin Ke Yu, Ling Li Zhang, Xian Guo Yan

Keywords:

Flow Meter, Multi-Degree-of-Freedom System, Multi-Ridge Extraction, Wavelet Transform (WT)

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