DocumentCode
2381500
Title
On-line modal parameter monitoring of bridges exploiting multi-core capacity by recursive stochastic subspace identification method
Author
Lin, Ping ; Zhang, Nanxiong ; Ni, Bin
Author_Institution
DSP Group, Nat. Instrum. Shanghai Branch, Shanghai
fYear
2008
fDate
11-13 June 2008
Firstpage
632
Lastpage
637
Abstract
On-line modal parameter monitoring of structures like bridges has compelling practical significance. This paper describes an example of applying recursive stochastic subspace identification methods to the monitoring of bridge modal parameters. The usual recursive stochastic subspace identification algorithm tailored to modal analysis is first presented in details. Then the algorithm is adapted to exploit the power of the multi- core capacity of today´s computers so as to improve the speed and effectiveness of the original algorithm. The results of the experiments based on the real data of Donghai Bridge have confirmed the above positive effects of the modified recursive stochastic subspace identification algorithm.
Keywords
bridges (structures); condition monitoring; stochastic processes; bridge modal parameters; modal analysis; multicore capacity; on-line modal parameter monitoring; recursive stochastic subspace identification method; Accidents; Bridges; Buildings; Computerized monitoring; Condition monitoring; Covariance matrix; Linear systems; Modal analysis; Multicore processing; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586563
Filename
4586563
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