Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Modal parameter identification based on fast fourier transform and Hilbert Huang transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wentao Lu ; Quality Eng. Center, China Aero-Polytechnology Establ., Beijing, China ; Xin Du ; Jun Ding ; Xinghua Wang

This paper put forward a method which is based on Fast Fourier Transform (FFT) and Hilbert Huang transform (HHT) to improve the accuracy of modal parameters identification. Firstly, FFT was used to determine the approximate range of each natural frequency, and then filter the signal by the bandwidth filter in order to reduce the effects of noise and each other mode to the empirical mode decomposition (EMD), and ensure the accuracy of the EMD method. Secondly, freedom response of single mode is extracted by using the EMD method based on the correlation coefficient to decompose the denoised signal. Finally, the natural frequency and damping ratio are identified after finishing the freedom response's Hilbert spectral analysis (HSA). The results of modal parameters identification on actual measured signal of the circuit board indicate that the identified natural frequencies and damping ratio by the proposed method are closer to the true results.

Published in:

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Date of Conference:

21-23 April 2012