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
Link To Document :
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