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Proceedings Paper

Wireless intelligent sensor network for autonomous structural health monitoring
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Paper Abstract

Life cycle monitoring of civil infrastructure such as bridges and buildings is critical to the long-term operational cost and safety of aging structures. The widespread use of Structural Health Monitoring (SHM) systems is limited due to unavailability of specialized data acquisition equipment, high cost of generic equipment, and absence of fully automatic decision support systems. The goals of the presented project include: first, design of a Wireless Intelligent Sensor and Actuator Network (WISAN) and creation of an inexpensive set of instrumentation for the tasks of structural health monitoring; second, development of a SHM method, which is suitable for autonomous structural health monitoring. The design of the wireless sensor network is aimed at applications of structural health monitoring, addressing the issues of achieving a low cost per sensor, higher reliability, sources of energy for the network nodes, energy-efficient distribution of the computational load, security and coexistence in the ISM radio bands. The practical applicability of the sensor network is increased through utilization of computational intelligence and support of signal generation capabilities. The automated SHM method is based on the method of modal strain energy, though other SHM methods will be supported as well. The automation tasks include automation of the modal identification through ambient vibrations, classification of the acquired mode shapes, and automatic evaluation of the structural health.

Paper Details

Date Published: 27 July 2004
PDF: 10 pages
Proc. SPIE 5384, Smart Structures and Materials 2004: Smart Sensor Technology and Measurement Systems, (27 July 2004); doi: 10.1117/12.540048
Show Author Affiliations
Edward Sazonov, Clarkson Univ. (United States)
Kerop Janoyan, Clarkson Univ. (United States)
Ratan Jha, Clarkson Univ. (United States)


Published in SPIE Proceedings Vol. 5384:
Smart Structures and Materials 2004: Smart Sensor Technology and Measurement Systems
Eric Udd; Daniele Inaudi, Editor(s)

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