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.