A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In practical structural health monitoring (SHM) process based on wireless sensor network (WSN), data loss often occurs during the data transmission between sensor nodes and the base station, which will affect the structural data analysis and subsequent decision making.
In this paper, a method of recovering lost data in WSN based on compressive sensing (CS) is proposed.
Compared with the existing methods, it is a simple and stable data recovery method and can obtain lower recovery data error for one-dimensional SHM’s data loss.
First, response signal x is measured onto the measurement data vector y through inner products with random vectors.
Note that y is the linear projection of x and y is permitted to be lost in part during the transmission.
Next, when the base station receives the incomplete data, the response signal x can be reconstructed from the data vector y using the CS method.
Finally, the test of active structural damage identification on LF-21M aviation antirust aluminum plate is proposed.
The response signal gathered from the aluminum plate is used to verify the data recovery ability of the proposed method.
American Psychological Association (APA)
Ji, Sai& Sun, Yajie& Shen, Jian. 2014. A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-480381
Modern Language Association (MLA)
Ji, Sai…[et al.]. A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-480381
American Medical Association (AMA)
Ji, Sai& Sun, Yajie& Shen, Jian. A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-480381
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-480381