A Pilot Study on Diagnostic Sensor Network for Structure Health Monitoring

This project aims to address the tomography analysis problem in sensor networks. Wireless sensor networks can be placed inside of or on the surface of a structure to estimate the health state of the structure and to detect changes in the structure. For this purpose, the sampled data must be reliable and represent the true state of the structure. In reality, the measured data often come with uncertainty and thus cannot always be interpreted with a theoretical model. When disagreement occurs, the measured data may or may not represent an anomalous state of the structure. Anomaly in data could originate from the source of a structure due to unknown loads and material properties, the error introduced during measurement, and the signal contamination in the process of data communication. One must distinguish the structure anomaly from the sensor network anomaly. For anomaly detection and identification, we must understand the spatial and temporal correlation of the data collected at different sampling points of the structure, and fully understand the network behavior that could introduce anomaly in data. We will provide preliminary results on the asymptotic distribution of test statistics, develop effective means for estimator design and data gathering, and design an efficient algorithm for data processing based on dependence modeling. The ultimate goal is to be able to reconstruct the contour map of some critical parameters of the structure. The algorithm and sensor network will be validated with physical tests of civil engineering structures in laboratory


  • English


  • Status: Active
  • Funding: $26562.00
  • Contract Numbers:



  • Sponsor Organizations:

    Missouri University of Science and Technology, Rolla

    325 Butler-Carlton Hall
    1401 N. Pine Street
    Rolla, MO  United States  65401
  • Principal Investigators:

    Cheng, Maggie

  • Start Date: 20120801
  • Expected Completion Date: 0
  • Actual Completion Date: 20130531
  • Source Data: RiP Project 33590

Subject/Index Terms

Filing Info

  • Accession Number: 01472019
  • Record Type: Research project
  • Source Agency: Center for Infrastructure Engineering Studies
  • Contract Numbers: DTRT06-G-0014, 00039451
  • Files: UTC, RIP
  • Created Date: Feb 12 2013 1:00AM