On-board data synchronization in wireless structural health monitoring systems based on phase locking

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Dragos, K (Author) Other; Theiler, M (Author) Other; Magalhães, F. (Author) FEUP; Moutinho, C. (Author) FEUP; Smarsly, K (Author) Other

Journal

Title: Structural Control and Health Monitoring

Vol. 25 No. 11

Pages: 1-19

ISSN: 1545-2255

Publisher: John Wiley & Sons

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 5 Citations

INSPEC

Other information

Authenticus ID: P-00P-J12

DOI: 10.1002/stc.2248

Abstract (EN): Wireless sensor networks are prone to synchronization discrepancies, due to the lack of intrinsic global clock management from a centralized server. In wireless structural health monitoring (SHM) systems, synchronization discrepancies may lead to erroneous estimations of structural parameters of monitored structures. To avoid errors in the estimations of structural parameters, structural response data sets collected from a structure must be synchronized. Synchronization between structural response data sets can be achieved through offline processing. However, in wireless SHM systems, offline processing requires wireless communication of entire structural response data sets, which has been proven detrimental to the power autonomy of wireless sensor nodes. This paper presents an embedded synchronization algorithm for wireless SHM systems. The embedded synchronization algorithm functions as a module added to embedded algorithms performing peak picking, which is part of operational modal analysis, for ensuring accurate outcomes. The embedded synchronization algorithm enables wireless SHM systems to synchronize structural response data sets on board using the embedded computing capabilities of wireless sensor nodes. The synchronization is achieved by imposing the expected relationship between the phase angles of Fourier spectra of acceleration response data sets at peaks corresponding to vibration modes. Time lags are autonomously estimated by the wireless sensor nodes through collaborative analysis of the phase angle relationship between acceleration response data sets collected by different sensor nodes. The embedded synchronization algorithm is implemented into a prototype wireless SHM system with embedded peak picking algorithms and validated by laboratory tests and by ambient vibration tests on a pedestrian bridge.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19