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Structural Health and Load Monitoring with Material-embedded Sensor Networks and Self-organizing Multi-agent Systems.
- Source :
- Procedia Technology; 2014, Vol. 15, p669-691, 23p
- Publication Year :
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22120173
- Volume :
- 15
- Database :
- Supplemental Index
- Journal :
- Procedia Technology
- Publication Type :
- Academic Journal
- Accession number :
- 98666497
- Full Text :
- https://doi.org/10.1016/j.protcy.2014.09.039