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  4. Cross-spectrum-based synchronization of structural health monitoring data
 
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Cross-spectrum-based synchronization of structural health monitoring data

Publikationstyp
Conference Paper
Date Issued
2022-07
Sprache
English
Author(s)
Dragos, Kosmas  
Magalhães, Filipe  
Manolis, George  
Smarsly, Kay  
Institut
Digitales und autonomes Bauen B-1  
TORE-URI
http://hdl.handle.net/11420/14400
Citation
10th European Workshop on Structural Health Monitoring, (EWSHM 2022)
Contribution to Conference
10th European Workshop on Structural Health Monitoring, (EWSHM 2022)  
Publisher Link
https://smarsly.files.wordpress.com/2022/03/smarsly2022j.pdf
Scopus ID
2-s2.0-85132984535
Synchronization discrepancies when measuring structural response may compromise the accuracy of information on the condition of structures, ex- tracted from structural health monitoring (SHM) systems. Loss of synchroniza- tion mostly concerns modern wireless SHM systems; however, synchronization discrepancies may also occur in cable-based systems in case multiple data ac- quisition units without global clock management are used. This paper presents the implementation and validation of a concept towards synchronizing SHM da- ta records containing structural response data, which is imperative for obtaining information valuable for accomplishing monitoring objectives. Specifically, the performance of a cross spectrum synchronization approach reported in a recent study, which builds upon cross spectral density phase angles of structural re- sponse data transformed into the frequency domain, is investigated with struc- tural response data from real structures. The cross spectrum synchronization approach is implemented into a wireless SHM system and into a cable-based SHM system, and it is validated through tests on a laboratory shear-frame struc- ture and through field tests on a pedestrian bridge, respectively. The validation test results prove that the cross spectrum synchronization approach is capable of complementing traditional clock synchronization protocols, thus enhancing the accuracy of SHM outcomes.
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