Research on CNC Integrated Manufacturing Condition Analysis Model and Its Application Based on Visual Multi-Feature Fusion
A visual diagnosis method for flexible CNC manufacturing condition monitoring is proposed based on multi-feature space mapping. First, the generalized sensor space and the observable feature vector are analyzed and extracted. Second, based on image processing technologies, the method for establishing clustering fusion model of complex condition is developed. At last, the visual multi-feature clustering fusion model is established. The model works quickly and accurately.
CNC Integrated Manufacturing Complex Condition Multi-Feature Clustering Fusion Analysis Model
Libing Liu Yingshu Chen Jiahang Li Xiankai Li Dawei Tian
School of Mechanical Engeering, Hebei University of Technology, Tianjin, 300130 ShenYang Machine Tool Group, China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2323-2327
2010-05-26(万方平台首次上网日期,不代表论文的发表时间)