期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 171, 期 -, 页码 16-25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
类别
资金
- National Natural Science Foundation of China (NSFC) [61673337, 61722310]
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。
推荐
暂无数据