DocumentCode :
3773932
Title :
A New Mathematics Method for Structural Health Monitoring´s Damage Detection Based on WSNs
Author :
Sai Ji;Ping Yang;Yajie Sun;Jian Shen;Jin Wang
Author_Institution :
Educ. Minist. Demonstration Base of Internet Applic. Innovation Open Platform, Nanjing Univ. of Inf. Sci. &
fYear :
2015
Firstpage :
209
Lastpage :
212
Abstract :
In the Wireless Sensor Network (WSN) for structural health monitoring (SHM), usually, we transmit the original acquisition data and exchange the large amounts of data between nodes which consume huge energy, occupy a large amount of communication bandwidth. Thus, data compression or data fusion to reduce network traffic and energy loss before transmission is necessary. In this work, we established a suitability compressive sensing (CS) to address some challenges in the Aviation Aluminum Plate Structural Health Monitoring System (AAPSHM) using WSN. Through the experimental demonstration, the application of this method could ensure the accuracy of the data as well as balance the network energy consumption. And it can also reduce the cost of data storage and transmission, improve the efficiency and make a certain contribution to the quality for the AAPSHM.
Keywords :
"Wireless sensor networks","Monitoring","Data compression","Compressed sensing","Sensors","Sparse matrices","Image reconstruction"
Publisher :
ieee
Conference_Titel :
Computational Intelligence Theory, Systems and Applications (CCITSA), 2015 First International Conference on
Type :
conf
DOI :
10.1109/CCITSA.2015.48
Filename :
7473118
Link To Document :
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