Modal Identification Using Blind Source Separation Based on Moving Average Method
Jian Hua Du, Hong Wu Huang, Dian Dian Lan · Applied Mechanics and Materials · 2013
The paper discusses the basic principles of blind source separation and modal identification of structures, analyses the feasibility that using blind source separation techniques for modal parameter identification. According to the noisy features of the measured data in experiments, a second-order blind identification algorithm based on moving average method is proposed. By moving average method the noises are efficiently eliminated. It greatly improves the separation performance of this algorithm. The cantilever experiments verify the stability and the applicability of the algorithm.