Paper
12 June 2000 Fuzzy sensors: the development of inexpensive structurally compatible sensor elements
Shawn M. Walsh, Frederick J. Goetz, Elias J. Rigas
Author Affiliations +
Abstract
Many of the sensor technologies considered for integration into 'smart' materials systems have been adopted from a host of other applications. Consider, for example, fiber optics; these materials were originally designed for telecommunication and have since been modified to serve as effective sensor elements. The present research, by contrast, has focused on the development of a new generation of sensor specifically designed to meet a range of critical operational constraints. The sensor consists of conductive particles selectively distributed in a non-conductive matrix. The matrix could be an elastometer or the host matrix used in a polymer composite. Selective distribution of the particles allows for unprecedented amplification of the sensor signal, thus augmenting its ability to detect relatively weak disturbances in the host structure. The signals exhibit both analog and digital-like response characteristics, and hence they have been called 'fuzzy' sensors. The advantages of this approach include a practical sensor element that exhibits very low cost (less than 10 centers per sensor), structural compatibility with the host structure, and high sensitivity. The fuzzy sensors have been successfully implemented in a structural composite component and a real time data retrieval system has been developed.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shawn M. Walsh, Frederick J. Goetz, and Elias J. Rigas "Fuzzy sensors: the development of inexpensive structurally compatible sensor elements", Proc. SPIE 3986, Smart Structures and Materials 2000: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, (12 June 2000); https://doi.org/10.1117/12.388100
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KEYWORDS
Sensors

Composites

Particles

Polymers

Structural health monitoring

Microelectromechanical systems

Nondestructive evaluation

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