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
收藏
页码：391 / 397
页数：7
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