DocumentCode :
3519483
Title :
Development of a Generic Virtual Metrology Framework
Author :
Huang, Hsien-Cheng ; Yu-Chuan ; Cheng, Fan-tien ; Jian, Jia-Mau
Author_Institution :
Nat. Cheng Kung Univ., Tainan
fYear :
2007
fDate :
22-25 Sept. 2007
Firstpage :
282
Lastpage :
287
Abstract :
Virtual metrology (VM) is a technology to predict metrology variables using information about the state of the process for every workpiece. An advanced dual-phase VM scheme possessing the properties of data preprocessing, dual-phase conjecturing, reliance-level evaluating, and similarity-level appraising was proposed by the author. This dual-phase VM scheme is applicable for all the typical VM applications. Among those applications, the one for workpiece-to-workpiece (W2W) advanced process control (APC) is the most critical. For easy implementation and deployment, a generic-virtual-metrology (GVM) framework shall be designed. The purpose of this paper is to develop the GVM framework. By applying this GVM framework, different VM functional modules can be easily implemented and applied for various kinds of VM applications, especially the W2W APC.
Keywords :
process control; virtual manufacturing; advanced process control; data preprocessing; dual-phase conjecturing; generic virtual metrology; reliance-level evaluation; workpiece-to-workpiece; Appraisal; Computer aided manufacturing; Computer science; Data preprocessing; Manufacturing automation; Manufacturing processes; Metrology; Process control; Production equipment; Virtual manufacturing; Generic VirtualMetrology (GVM) Framework; Global Similarity Index (GSI); Phase-I Virtual Metrology Value (VMI); Phase-II Virtual Metrology Value (VMII); Reliance Index (RI);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
978-1-4244-1154-2
Electronic_ISBN :
978-1-4244-1154-2
Type :
conf
DOI :
10.1109/COASE.2007.4341746
Filename :
4341746
Link To Document :
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