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Compressive sampling for accelerometer signals in structural health monitoring

Bao, Yuequan and Beck, James L. and Li, Hui (2011) Compressive sampling for accelerometer signals in structural health monitoring. Structural Health Monitoring, 10 (3). pp. 235-246. ISSN 1475-9217. https://resolver.caltech.edu/CaltechAUTHORS:20110524-132425430

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Abstract

In structural health monitoring (SHM) of civil structures, data compression is often needed to reduce the cost of data transfer and storage, because of the large volumes of sensor data generated from the monitoring system. The traditional framework for data compression is to first sample the full signal and, then to compress it. Recently, a new data compression method named compressive sampling (CS) that can acquire the data directly in compressed form by using special sensors has been presented. In this article, the potential of CS for data compression of vibration data is investigated using simulation of the CS sensor algorithm. For reconstruction of the signal, both wavelet and Fourier orthogonal bases are examined. The acceleration data collected from the SHM system of Shandong Binzhou Yellow River Highway Bridge is used to analyze the data compression ability of CS. For comparison, both the wavelet-based and Huffman coding methods are employed to compress the data. The results show that the values of compression ratios achieved using CS are not high, because the vibration data used in SHM of civil structures are not naturally sparse in the chosen bases.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1177/1475921710373287 DOIArticle
http://shm.sagepub.com/content/10/3/235PublisherArticle
Additional Information:© 2010 The Author(s). Published online before print June 14, 2010. One of the authors (Yuequan Bao) acknowledges the support provided by the China Scholarship Council while he was a visiting student researcher at the California Institute of Technology. This research is also supported by grants from National Natural Science Foundation of China (NSFC grant nos. 50538020, 50278029, and 50525823) and the Science and Technology Program for the West Communication Construction of the Ministry of Construction, China, which supported the first and third authors (Yuequan Bao and Hui Li).
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China50538020
National Natural Science Foundation of China50278029
National Natural Science Foundation of China50525823
Ministry of Construction (China)UNSPECIFIED
Subject Keywords:compressive sampling, data compression, structural health monitoring, wavelet, transform, Huffman coding
Issue or Number:3
Record Number:CaltechAUTHORS:20110524-132425430
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20110524-132425430
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:23782
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:20 Jun 2011 17:58
Last Modified:03 Oct 2019 02:49

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