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Journal of Process Control, Vol.14, No.8, 821-836, 2004
An industrial perspective on implementing on-line applications of multivariate statistics
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. (C) 2004 Elsevier Ltd. All rights reserved.
Keywords:principal component analysis;partial least squares;correlation;regression;fault detection;process operation;steel manufacturing;pulp and paper production