Structural Health and Load Monitoring with Material-embedded Sensor Networks and Self-organizing Multi-agent Systems

Stefan Bosse, Armin Lechleiter

In: Proceedings of the 2nd Conference on System-integrated Intelligence. International Conference on System-integrated Intelligence (SysInt-2014) New Challenges for Product and Production Engineering July 2-4 Bremen Germany Seiten 669-691 15 2014.


Abstract One of the major challenges in Structural Health Monitoring and load monitoring of mechanical structures is the derivation of meaningful information from sensor data. This work investigates a hybrid data processing approach for material-integrated SHM and LM systems by using self-organizing mobile multi-agent systems (MAS), with agent processing platforms scaled to microchip level which offer material-integrated real-time sensor systems, and inverse numerical methods providing the spatial resolved load information from a set of sensors embedded in the technical structure. Inverse numerical approaches usually require a large amount of computational power and storage resources, not suitable for resource constrained sensor node implementations. Instead, off-line computation is performed, with on-line sensor processing by the agent system.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence