Application of neural networks to active damage detection technique of composites

Lei Wang; Shenfang Yuan

doi:10.1117/12.510320

29 April 2003 Application of neural networks to active damage detection technique of composites

Lei Wang, Shenfang Yuan

Proceedings Volume 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002; (2003) https://doi.org/10.1117/12.510320
Event: Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, 2002, Beijing, China

Abstract

Cost-effective and reliable damage detection is critical for the utilization of composite materials. This paper applies a new combined method of Kohonen self-organizing feature neural networks and active damage detection technique to composite health monitoring. The proposed method features a simple structure algorithm, supervision free self-study and lateral association, etc. According to such method and virtual instrument technique, an active damage detection system for composites is developed. This effective method for damage detection has been verified in the course of its practical use.

Citation Download Citation

Lei Wang and Shenfang Yuan "Application of neural networks to active damage detection technique of composites", Proc. SPIE 5058, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, (29 April 2003); https://doi.org/10.1117/12.510320

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