基于粒度计算的光纤智能结构监测

Monitoring for smart optical fiber structure based on GrC

对智能材料的监测需要智能系统对各种不同来源的知识、技术和方法进行组合。设计这类智能系统的核心就是软计算。粒度计算是软计算科学中的重要分支,是一种计算智能系统的新方法。将粒度计算方法应用在光纤智能结构的监测中,并与神经网络方法进行比较。实验表明:在分类性能上,粒度计算方法在光纤智能结构监测中的应用优于神经网络处理方法。

Monitoring for smart structure, only can be properly settled by combination of different knowledge, technologies and methods possibly. The core of intelligence system is soft computing. As a novel approach to computing intelligence, granular computing （GrC） is a branch of soft computing science. Using the GrC for the smart optical fiber structure health monitoring and comparing with the neural network, the result shows that GrC has better classification performance in the smart optical fiber structure monitoring than the neural network.