Embedded microcontroller networks: accoustic materials health monitoring

Patrick M. Rye

doi:10.1117/12.715213

10 April 2007 Embedded microcontroller networks: acoustic materials health monitoring

Patrick M. Rye

Proceedings Volume 6530, Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007; 65301F (2007) https://doi.org/10.1117/12.715213
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

Fiber reinforced polymer matrix (FRP) composites have a rich history of diagnosis and characterized using acoustic emissions techniques. The highly dispersive, attenuating, and anisotropic nature of unidirectional composites places an emphasis on high density local sensing as opposed to low density more-global sensing strategies. A high density of sensors naturally implies large quantities of data requiring large bandwidth and substantial processing power. By distributing processing with the sensors themselves results in a decreased demand for bandwidth and lower computational power needed at each node in what is now a parallel processing computer. Desired information, time constraints and mechanical considerations place both hard and soft constraints on our network helping to define its architecture. I will present investigated computing architectures and their benefits and limitations as they relate to the various constraints involved.

Citation Download Citation

Patrick M. Rye "Embedded microcontroller networks: acoustic materials health monitoring", Proc. SPIE 6530, Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007, 65301F (10 April 2007); https://doi.org/10.1117/12.715213

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