• DocumentCode
    342707
  • Title

    ASPECT. Methodology for inferential sensing and assessment of quality control

  • Author

    Schnelle, Phillip D., Jr.

  • Author_Institution
    Div. of Process Control, E.I. du Pont de Nemours & Co. Inc., Wilmington, DE, USA
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    3119
  • Abstract
    ASPECT (Advanced Statistical Process Estimation and Control Technology) was developed by DuPont as a prototype to help better understand the application of inferential sensing and how it applies to “quality” control. ASPECT is: (i) An application methodology that provides a structured approach to the problem of quality control. (ii) Software tools developed in support of that methodology. ASPECT helps plant engineers evaluate the merits of various quality control approaches. It also provides a means to quantify and understand the opportunity for moving from one level of quality control to the next. The ASPECT software is a complete, simple to use, integrated environment for data gathering, empirical modeling and inferential sensing applications. This short presentation will discuss ASPECT´s role in evaluating alternative approaches to quality control approaches and will cover ASPECT´s capabilities with respect to inferential sensing. It will briefly cover several application of ASPECT in support process analytical applications
  • Keywords
    inference mechanisms; quality control; statistical process control; ASPECT; QC assessment; advanced statistical control technology; advanced statistical process estimation; data gathering; empirical modeling; inferential sensing; quality control; software tools; structured approach; Application software; Design engineering; Feedback; Frequency; Laboratories; Process control; Prototypes; Quality control; Software prototyping; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1999. Proceedings of the 1999
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4990-3
  • Type

    conf

  • DOI
    10.1109/ACC.1999.782336
  • Filename
    782336