Title :
The selection of filtering bandwidth for modal parameters identification using Hilbert-Huang transform
Author :
Liu Zhengshi ; Xia Qiu ; Zheng Yuxin ; Wang Yong ; Chen Enwei
Author_Institution :
Sch. of Mech. & Automotive Eng., Hefei Univ. of Technol., Hefei, China
Abstract :
The development and application of Hilbert-Huang transform are deeply restricted by Mode mixing and End effect. Band-pass filter is an effective approach to mode-mixing, but it brings new end points to the original signal, which would aggravate the end effect. After studying the filtering theory and lots of experiments, how to select more reasonable cut-off frequencies is explained, and a linear least-square fit procedure is used on the data-set with more physical significance. Numerical simulation results demonstrate that the proposed method is more effective.
Keywords :
Hilbert transforms; band-pass filters; filtering theory; least squares approximations; numerical analysis; parameter estimation; Hilbert-Huang transform; band-pass filter; filtering bandwidth; filtering theory; linear least-square fit procedure; modal parameters identification; mode mixing; numerical simulation; Band-pass filters; Bandwidth; Cutoff frequency; Damping; Digital filters; Time-frequency analysis; Bandwidth select; End effects; HHT; Modal parameters identification; Mode mixing;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720311
