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Activity Number:
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516
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #303902 |
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Title:
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Monitoring Civil Structures Using Restricted Autoregressive Models and Wireless Sensor Networks
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Author(s):
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Guilherme Rocha*+ and Shamim Pakzad and Bin Yu
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Companies:
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Indiana University and Lehigh University and University of California, Berkeley
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Address:
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Department of Statistics, Bloomington, IN, 47408,
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Keywords:
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structural health monitoring ; civil engineering ; dynamic models ; regularized models ; AR models ; linear models
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Abstract:
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Wireless sensor networks (WSN) are a promising technology for structural health monitoring. Detecting a change in the state of a structure is often achieved by monitoring features of measured response, e.g. the natural vibration properties of the structure. These properties are estimated in this paper by an AR model fitted to the acceleration response of a bridge to ambient vibrations. Physically motivated restrictions on the multivariate AR model are introduced to reduce the variability of the estimated parameter for a small sample size, and to reduce the data traffic over the WSN thus extending its lifetime. Simulations of linear vibrating systems subjected to ambient excitations suggest the modal estimates based on the restricted AR model perform as well as those based on the full AR model. The trade-off between data traffic in the network and estimation accuracy is also studied.
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