Research on CNC integrated manufacturing condition analysis model and its application based on visual multi-feature fusion

Author

Liu, Libing ; Chen, Yingshu ; Li, Jiahang ; Li, Xiankai ; Tian, Dawei

Author_Institution

Sch. of Mech. Engeering, Hebei Univ. of Technol., Tianjin, China

fYear

2010

fDate

26-28 May 2010

Firstpage

2323

Lastpage

2327

Abstract

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.

Keywords

computerised numerical control; condition monitoring; fault diagnosis; image processing; integrated manufacturing systems; pattern clustering; sensor fusion; CNC integrated manufacturing condition analysis model; flexible CNC manufacturing condition monitoring; generalized sensor space; image processing; multifeature space mapping; observable feature vector; visual diagnosis; visual multifeature clustering fusion model; visual multifeature fusion; Computer numerical control; Condition monitoring; Employee welfare; Feature extraction; Histograms; Image recognition; Production; Signal processing; Space technology; Virtual manufacturing; Analysis Model; CNC Integrated Manufacturing; Complex Condition; Multi-Feature Clustering Fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498817

Filename

5498817