Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Wireless sensor information fusion for structural health monitoring

[+] Author Affiliations
Jinping Ou, Hongwei Li

Harbin Institute of Technology (China)

Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, 356 (April 2, 2003); doi:10.1117/12.487067
Text Size: A A A
From Conference Volume 5099

  • Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003
  • Belur V. Dasarathy
  • Orlando, FL | April 21, 2003

abstract

The process of implementing a damage detection strategy for engineering systems is often referred to as structural health monitoring (SHM). And Structural Health Monitoring is very important for large structures like suspension- and cable-stayed bridges, towers, offshore platforms and so on. Some advance technologies for infrastructure health monitoring have been caused much more attentions, in which the wireless sensor network (WSN) is recently received special interests. The WSN would have lower capital and installation costs as well as ensure more reliability in the communication of sensor measurements. However, in the context of untethered nodes, the finite energy budget is a primary design constraint. Therefore, one wants to process data as much as possible inside the network to reduce the number of bits transmitted, particularly over longer distances. In this paper, a WSN is proposed for health monitoring of the offshore platform, and a laboratory prototype was designed and developed to demonstrate the feasibility and validity of the proposed WSN. In the laboratory prototype, wireless sensor nodes were deployed on a model of offshore platform, a Wireless Sensor Local Area Network (WSLAN) transfers the simulated data among personal computer and microsensor nodes peripherals without cables. To minimize the energy consumption, algorithms for fusing the acceleration, temp and magnetic sensors on a single node are being developed. And based on fusing the data from local nodes, the current state of structure health was determined. In our deployment, we using UC Berkeley motes as the wireless sensor nodes to examine many of the issues relating to their usage and our information fusion algorithm.

© (2003) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Jinping Ou and Hongwei Li
"Wireless sensor information fusion for structural health monitoring", Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, 356 (April 2, 2003); doi:10.1117/12.487067; http://dx.doi.org/10.1117/12.487067


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.