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Proceedings Paper

Development of signal processing tools and hardware for piezoelectric sensor diagnostic processes
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Paper Abstract

This paper presents a piezoelectric sensor diagnostic and validation procedure that performs in-situ monitoring of the operational status of piezoelectric (PZT) sensor/actuator arrays used in structural health monitoring (SHM) applications. The validation of the proper function of a sensor/actuator array during operation, is a critical component to a complete and robust SHM system, especially with the large number of active sensors typically involved. The method of this technique used to obtain the health of the PZT transducers is to track their capacitive value, this value manifests in the imaginary part of measured electrical admittance. Degradation of the mechanical/electrical properties of a PZT sensor/actuator as well as bonding defects between a PZT patch and a host structure can be identified with the proposed procedure. However, it was found that temperature variations and changes in sensor boundary conditions manifest themselves in similar ways in the measured electrical admittances. Therefore, we examined the effects of temperature variation and sensor boundary conditions on the sensor diagnostic process. The objective of this study is to quantify and classify several key characteristics of temperature change and to develop effcient signal processing techniques to account for those variations in the sensor diagnosis process. In addition, we developed hardware capable of making the necessary measurements to perform the sensor diagnostics and to make impedance-based SHM measurements. The paper concludes with experimental results to demonstrate the effectiveness of the proposed technique.

Paper Details

Date Published: 10 April 2007
PDF: 12 pages
Proc. SPIE 6530, Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007, 653018 (10 April 2007); doi: 10.1117/12.715834
Show Author Affiliations
Timothy G. S. Overly, Los Alamos National Lab. (United States)
Gyuhae Park, Los Alamos National Lab. (United States)
Charles R. Farrar, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 6530:
Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007
Kara J. Peters, Editor(s)

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