Research on CNC Integrated Manufacturing Condition Analysis Model and Its Application Based on Visual Multi-Feature Fusion

摘要：

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.

关键词： CNC Integrated Manufacturing Complex Condition Multi-Feature Clustering Fusion Analysis Model

作者: Libing Liu Yingshu Chen Jiahang Li Xiankai Li Dawei Tian

作者单位: School of Mechanical Engeering, Hebei University of Technology, Tianjin, 300130 ShenYang Machine Tool Group, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 2323-2327

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）