Author/Authors :
I. Miletic، نويسنده , , S. Quinn، نويسنده , , M. Dudzic، نويسنده , ,
V. Vaculik and
M. Champagne، نويسنده ,
Title Of Article :
An industrial perspective on
implementing on-line applications
of multivariate statistics
Latin Abstract :
Multivariate statistics (MVS) has enjoyed popularity in the applied science literature over the last decade. It has also been well
received by industrial practitioners; however, industrial applications have had mixed results. In this paper, we focus on our experiences
in developing multivariate statistical systems for industrial use. From these experiences, we identify a methodology for
developing useful, long-standing industrial applications. We highlight features we feel are important in the successful development
of on-line MVS applications, both technical and non-technical. Specifically, we focus on on-line systems for manufacturing environments.
Many of the applications discussed grew out of industry-university collaborations. To end the paper, we recommend
topics open for further academic research with an industrial focus.
NaturalLanguageKeyword :
Principal component analysis , Partial least squares , Correlation , Fault detection , process operation , Steel manufacturing , Pulp and paper production , Regression
JournalTitle :
Studia Iranica
