An efficient signal processing tool for impedance-based structural health monitoring

Megan K. O'Brien, Stuart G. Taylor, Kevin M. Farinholt, Gyuhae Park*, Charles R. Farrar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Various experimental studies have demonstrated that an impedance-based approach to structural health monitoring can be an effective means of damage detection. Using the self-sensing and active-sensing capabilities of piezoelectric materials, the electromechanical impedance response can be monitored to provide a qualitative indication of the overall health of a structure. Although impedance analyzers are commonly used to collect such data, they are bulky and impractical for long-term field implementation, so a smaller and more portable device is desired. However, impedance measurements often contain a sizeable number of data points, and a smaller device may not possess enough memory to store the required information, particularly for real-time analysis. Therefore, the amount of data used to assess the integrity of a structure must be significantly reduced. A new type of cross correlation analysis, for which impedance data is instantaneously correlated between different sensor sets and different frequency ranges, as opposed to be correlated to pre-stored baseline data, is proposed to drastically reduce the amount of data to a single correlation coefficient and provide a quantitative means of detecting damage relative to the sensor positions. The proposed analysis is carried out on a 3-story representative structure and its efficiency is demonstrated.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems 2009
StatePublished - 2009
Externally publishedYes
EventHealth Monitoring of Structural and Biological Systems 2009 - San Diego, CA, United States
Duration: Mar 9 2009Mar 12 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherHealth Monitoring of Structural and Biological Systems 2009
Country/TerritoryUnited States
CitySan Diego, CA


  • Impedance Method
  • Piezoelectrics
  • Structural Health Monitoring
  • Wireless Sensing Network

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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