AN ADAPTIVE ALGORITHM FOR FREQUENCY IDENTIFICATION BASED ON HILBERT-HUANG TRANSFORM
The Hilbert-Huang transform (HHT) is a new time- frequency analyzing method for nonlinear and nonstationary signal. In this paper, the basic concept of HHT is briefly introduced and its application in the field of damage identification is reviewed. Based on the HHT algorithm, a posteriori adaptive energy-based frequency-amplitude (AEBFA) method is proposed for frequency identification. In this method, a series of bandpass filtering is carried out first and then the forward energy weighted frequency and the backward frequency weighted amplitude are obtained in each subdomain. The natural frequencies can be identified by plotting the obtained weighted amplitude against the weighted frequency. Simulated signal and ANSYS model-based analysis is used to validate the proposed AEBFA method. The results indicate that the AEBFA method is an efficacious, robust frequency identification tool with fairly good accuracy, even when the noise and different damage patterns are considered.
frequency identification Hilbert-Huang transform (HHT) nonlinear nonstationary posteriori adaptive method weighted frequency weighted amplitude
Zhong-Xian Li Chun-Xiao Bao
School of Civil Engineering, Tianjin University, Tianjin 300072, P.R. China
国际会议
长沙
英文
875-887
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）