4.5 Review

An industrial perspective on implementing on-line applications of multivariate statistics

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

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据