Hilbert-Huang transform based noise filtering for the identification of structural systems  

作　　者：LIN Jeng-wen HUANG Chih-wei 

机构地区：[1]Department of Civil Engineering, Feng Chia University, Taichung 407, Taiwan [2]Graduate Institute of Civil and Hydraulic Engineering, Feng Chia University, Taichung 407, Taiwan

出　　处：《Journal of Civil Engineering and Architecture》2009年第3期1-10,共10页土木工程与建筑（英文版）

摘　　要：This paper proposes an enhanced noise filtering technique to the Hilbert-Huang transformation technology for the identification of structural systems using vibration measurements. The Hilbert-Huang transformation technology is a set of superior algorithms non-stationary signals and also for analyzing non-linear and offers increased accuracy for linear and stationary signals. However, the signals are filtered by reconstruction from ＂＇selected＂ intrinsic mode functions （IMFs）, derived from the original signal through the empirical mode decomposition method. The proposed filtering technique offers the criterion for selecting the IMFs using the orthogonalization coefficient. In addition, a simple free vibration modal analysis has been resolved for the evaluation of the modal damping ratio. Through the enhanced filtering, it is possible to increase the accuracy for the estimation of the time-varying system＇s natural frequency and the damping ratio, indicative of the degree of damage, which helps an effective design of a control system.

关 键 词：Hilbert-Huang transformation empirical mode decomposition orthogonalization coefficient modal analysis 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置] TQ028.53[自动化与计算机技术—控制科学与工程]