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

C.W. Kim , M. Kawatani , R. Ozaki , N. Makihata

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.

Key Words

AR process; bridge health monitoring; Kalman filter; missing data recovery; wireless sensor node.

Address

C.W. Kim: Department of Civil & Earth Resources Engineering, Graduate School of Engineering, Kyoto University, Kyoto 615-8540, Kyoto, Japan M. Kawatani, R. Ozaki: Department of Civil Engineering, Graduate School of Engineering, Kobe University, Kobe 657-8501, Japan N. Makihata: JIP Techno Science Corporation, Osaka 532-0011, Japan

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