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Journal of Applied Geodesy

Editor-in-Chief: Kahmen, Heribert / Rizos, Chris


CiteScore 2018: 1.61

SCImago Journal Rank (SJR) 2018: 0.532
Source Normalized Impact per Paper (SNIP) 2018: 1.064

Online
ISSN
1862-9024
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Volume 8, Issue 4

Issues

Wavelet De-noising of GNSS Based Bridge Health Monitoring Data

Oluropo Ogundipe / Jae Kang Lee / Gethin Wyn Roberts
Published Online: 2014-12-05 | DOI: https://doi.org/10.1515/jag-2014-0011

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.

Keywords: wavelet; multipath; bridge monitoring

About the article

Received: 2014-05-21

Accepted: 2014-10-28

Published Online: 2014-12-05

Published in Print: 2014-11-01


Citation Information: Journal of Applied Geodesy, Volume 8, Issue 4, Pages 273–282, ISSN (Online) 1862-9024, ISSN (Print) 1862-9016, DOI: https://doi.org/10.1515/jag-2014-0011.

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© 2014 by Walter de Gruyter Berlin/Boston.Get Permission

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