Paper Info
Title
Structural Health Monitoring Based on RealAdaBoost Algorithm in Wireless Sensor Networks.
Abstract
Since frequent accidents such as bridge collapses have drawn much attention, structural health monitoring (SHM) is considered as a research hotspot in both academic and engineering fields. With the development of wireless sensor networks (WSNs), a large number of sensors have been equipped on architectural or mechanical structures to acquire real-time state data that may imply their health problems, which indicates that data processing is of great significance in WSN-based SHM. In this paper, we propose a SHM scheme by using RealAdaBoost algorithm in a WSN-based environment, in which the RealAdaBoost algorithm is employed here for data classification so as to detect and locate damages of the bridge. Simulation results indicate that the proposed RealAdaBoost algorithm provides better performance than several existing ones employed in SHM scenarios.
Year
DOI
Venue
2014
10.1007/978-3-319-07782-6_22
WASA
Keywords
Field
DocType
Structural Health Monitoring (SHM), Wireless Sensor Networks (WSNs), AdaBoost
Data processing,AdaBoost,Structural health monitoring,Computer science,Algorithm,Data classification,Wireless sensor network,Hotspot (Wi-Fi),Bridge Collapses,Distributed computing
Conference
Volume
ISSN
Citations 
8491
0302-9743
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Zhuorong Li100.34
Junqi Guo26115.07
Wenshuang Liang300.34
Xiaobo Xie4256.81
Guangzhi Zhang5312.24
Shenling Wang6474.84