Accessible Unlicensed Requires Authentication Published by De Gruyter December 5, 2014

Wavelet De-noising of GNSS Based Bridge Health Monitoring Data

Oluropo Ogundipe, Jae Kang Lee and Gethin Wyn Roberts

Abstract

GNSS signal multipath occurs when the GNSS signal reflects of objects in the antenna environment and arrives at the antenna via multiple paths. A bridge environment is one that is prone to multipath with the bridge structure, as well as passing vehicles providing static and dynamic sources of multipath. In this paper, the Wavelet Transform (WT) is applied to bridge data collected on the Machang cable stayed bridge in Korea. The WT algorithm was applied to the GNSS derived bridge defection data at the mid-span. Up to 41% improvement in RMS was observed afterwavelet shrinkage de-noisingwas applied.Application of this algorithm to the torsion data showed significant improvement with the residual average and RMS decreased by 40% and 45% respectively. This method enabled the generation of more accurate information for bridge health monitoring systems in terms of the analysis of frequency, mode shape and three dimensional defections.

Received: 2014-5-21
Accepted: 2014-10-28
Published Online: 2014-12-5
Published in Print: 2014-11-1

© 2014 by Walter de Gruyter Berlin/Boston