Distributed adaptive process monitoring and fault diagnosis based on data techniques

被引：0

作者：

Qian, Y ^{[1
]}

Wang, JF ^{[1
]}

Li, XX ^{[1
]}

Hu, YM ^{[1
]}

机构：

[1] S China Univ Technol, Chem Engn Res Ctr, Guangzhou 510640, Peoples R China

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2 | 2001年 / 69卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Integrating data analysis, data interpretation and data mining techniques, proposed in this work is a distributed process monitoring and fault diagnosis system. Complex process is partitioned into a number of sub-processes according to fundamental structure of the process. Data analysis and data interpretation techniques are used to monitor sub-processes locally, while data mining to find implicit correlativity between sub-processes, The proposed system is demonstrated in an industrial lubricating de-waxing oil recovery system case.

引用

页码：391 / 397

页数：7

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