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http://dx.doi.org/10.12989/sem.2011.38.4.417

Recovering missing data transmitted from a wireless sensor node for vibration-based bridge health monitoring  

Kim, C.W. (Department of Civil & Earth Resources Engineering, Graduate School of Engineering, Kyoto University)
Kawatani, M. (Department of Civil Engineering, Graduate School of Engineering, Kobe University)
Ozaki, R. (Department of Civil Engineering, Graduate School of Engineering, Kobe University)
Makihata, N. (JIP Techno Science Corporation)
Publication Information
Structural Engineering and Mechanics / v.38, no.4, 2011 , pp. 417-428 More about this Journal
Abstract
This paper presents recovering of missing vibration data of a bridge transmitted from wireless sensors. Kalman filter algorithm is adopted to reconstruct the missing data analytically. Validity of the analytical approach is examined through a field experiment of a bridge. Observations demonstrate that, even a part of recovered acceleration responses is underestimated in comparison with those responses taken from cabled sensors, dominant frequencies taken from the reconstructed data are comparable with those from cabled sensors.
Keywords
AR process; bridge health monitoring; Kalman filter; missing data recovery; wireless sensor node;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 3
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