By Topic

Wavelet Multi-Resolution in Identifying Modal Parameters Using Simulated GPS Observables

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
$33 $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

3 Author(s)
Chang Xu ; Dept. of Hydraulic Eng., Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China ; Lihan Zhou ; Haiyan Xie

Wavelet multi-resolution (WMR) and a bandpass digital Butterworth Alter were both proposed to extract structural vibration signal embedded in noisy GPS observables. The noisy observables were simulated by artificially adding random noises to a de-noised GPS time series with the sampling rate of 5 Hz. Modal parameters such as frequency, damping ratio, and modal shape coefficient were identified by using the random decrement technique and auto regressive moving averages (ARMA) model. The simulated results indicate that the filtered GPS time series can accurately capture the frequency, but may difficult in identifying the damping ration and modal shape. The false modal (or noise modal) may easily be produced due to the noise and low sampling rate of GPS observables, thus, the frequency should be determined under the consideration of modal shape.

Published in:

2009 International Conference on Information Engineering and Computer Science

Date of Conference:

19-20 Dec. 2009