Paper
1 May 1994 Development of an impact detection technique using optical fiber sensors and neural networks
James S. Sirkis, J. Kenneth Shaw, Timothy A. Berkoff, Alan D. Kersey, E. Joseph Friebele, Richard T. Jones
Author Affiliations +
Abstract
This paper describes an ongoing effort to develop techniques capable of locating the position of space debris impacts and to quantify the strain energy absorbed by the space structure as a result of these impacts. The techniques under development use optical fiber sensors and neural networks as the primary sensor and decision making components. To date, this project has resulted in the development of (1) a mathematical model of plate impact dynamics for use in sensor and neural network paradigm development, (2) a sensor demodulation system specifically designed for moderate impact energies, (3) several neural network paradigms with the potential to locate impacts, and (4) a test configuration to experimentally confirm the proposed paradigms.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James S. Sirkis, J. Kenneth Shaw, Timothy A. Berkoff, Alan D. Kersey, E. Joseph Friebele, and Richard T. Jones "Development of an impact detection technique using optical fiber sensors and neural networks", Proc. SPIE 2191, Smart Structures and Materials 1994: Smart Sensing, Processing, and Instrumentation, (1 May 1994); https://doi.org/10.1117/12.173943
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Sensors

Neural networks

Fiber optics sensors

Data modeling

Resistance

Chemical elements

Demodulation

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