• 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