基于粗糙集的复合材料缺陷检测的研究

Defect Detection Based on Rough Set for Composite

粗糙集理论作为一种处理不完备信息的有利工具,已广泛应用于人工智能的许多领域,特别是数据挖掘和知识发现领域。文章将基于粗糙集理论的数据挖掘技术应用于碳纤维复合材料缺陷模式识别的知识发现,在智能诊断的知识自动获取方面取得较好的效果。

Rough set theory,a powerful tool to deal with incomplete information,has been widely used in the area of artificial intelli- gence,especially in data mining and knowledge discovery.The application of rough set data mining technique to knowledge discovery for the defect detection of Carbon Filber Composite Acoustics is presented in this paper.This study indicates that rough set theory has better results for data mining of defect detection of Carbon Filber Composite Acoustics.