期刊
JOURNAL OF PROCESS CONTROL
卷 14, 期 8, 页码 821-836出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2004.02.001
关键词
principal component analysis; partial least squares; correlation; regression; fault detection; process operation; steel manufacturing; pulp and paper production
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.
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