A neural-genetic hybrid approach for optimizing structural health monitoring systems

摘要

This paper presents a concept for designing optimal health monitoring systems on the basis of maximizing their diagnostic capabilities. The optimization is accomplished as follows. A population of identical structures is created in which each member is outfitted with a unique inventory and distribution of sensors and/or actuation devices.