Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17680
Title: Data compression of very large-scale structural seismic and typhoon responses by low-rank representation with matrix reshape
Authors: Yang, Y
Nagarajaiah, S
Ni, YQ 
Keywords: Data compression
Large scale SHM
Low rank representation
Matrix reshaping
Seismic response
Typhoon response
Very large scale data
Issue Date: 2015
Publisher: John Wiley and Sons Ltd
Source: Structural control and health monitoring, 2015, v. 22, no. 8, p. 1119-1131 How to cite?
Journal: Structural Control and Health Monitoring 
Abstract: The intrinsic low-dimensional structure, which is implicit in the large-scale data sets of structural seismic and typhoon responses, is exploited for efficient data compression. Such a low-dimensional structure, empirically, stems from few modes that are active in the structural dynamic responses. Originally, limited to the sensor and time-history dimension, the structural seismic and typhoon response data set generally does not have an explicit low-rank representation (e.g., by singular value decomposition or principal component analysis), which is critical in multi-channel data compression. By the proposed matrix reshape scheme, the low-rank structure of the large-scale data set stands out, regardless of the original data dimension. Examples demonstrate that the developed method can significantly compress the large-scale structural seismic and typhoon response data sets, which were recorded by the structural health monitoring system of the super high-rise Canton Tower.
URI: http://hdl.handle.net/10397/17680
ISSN: 1545-2255
DOI: 10.1002/stc.1737
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