4.7 Review

Review on data-driven modeling and monitoring for plant-wide industrial processes

期刊

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chemolab.2017.09.021

关键词

Plant-wide process; Data-driven modeling; Process monitoring

资金

  1. National Natural Science Foundation of China (NSFC) [61673337, 61722310]

向作者/读者索取更多资源

Data-driven modeling and applications in plant-wide processes have recently caught much attention in both academy and industry. This paper provides a systematic review on data-driven modeling and monitoring for plant-wide processes. First, methodologies of commonly used data processing and modeling procedures for the plant-wide process are presented. Detailed research statuses on various aspects for plant-wide process monitoring are reviewed since 2000. After that, extensions, opportunities, and challenges on data-driven modeling for plant wide process monitoring are discussed and highlighted for future research.

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

4.7
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