1. Modal Identification Using Blind Source Separation Based on Moving Average Method
- Author
-
Hong Wu Huang, Dian Dian Lan, and Jian Hua Du
- Subjects
Engineering ,Identification (information) ,Modal ,business.industry ,Moving average ,Speech recognition ,Second order blind identification ,General Medicine ,business ,Blind signal separation ,Blind equalization - Abstract
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.
- Published
- 2013
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