Localized Structural Health Monitoring Using Energy-Efficient Wireless Sensor Networks

This paper presents a localized information processing approach for long-term, online structural health monitoring (SHM) using wireless sensor networks (WSNs). Based on the embedded AR-ARX method, each sensor independently calculates a statistical damage-sensitive coefficient using the measured acce...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2009-11, Vol.9 (11), p.1596-1604
Main Authors: Ling, Qing, Tian, Zhi, Yin, Yuejun, Li, Yue
Format: Article
Language:English
Subjects:
Acceleration
Aerospace materials
Algorithms
Channels
Coaxial components
Coefficients
Costs
Damage
Energy efficiency
Health monitoring (engineering)
Information processing
Interference
Localized information processing
Monitoring
Networks
Nonlinear programming
Sensor fusion
Sensor systems
Sensors
structure health monitoring (SHM)
Wireless sensor networks
wireless sensor networks (WSNs)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a localized information processing approach for long-term, online structural health monitoring (SHM) using wireless sensor networks (WSNs). Based on the embedded AR-ARX method, each sensor independently calculates a statistical damage-sensitive coefficient using the measured acceleration data during each monitoring period. A nonlinear programming formulation is developed to identify damage presence, localize damage position, and quantify damage severity from the damage-sensitive coefficients in the whole sensing field. By limiting each sensor to exchange information among its neighboring sensors only, a localized near-optimal algorithm is proposed to reduce communication costs, thus alleviating the channel interference and prolonging the network lifetime. Simulation results on a steel frame structure prove the effectiveness of the proposed algorithm.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2009.2019318