Industrial applications of the intelligent fault diagnosis system

被引:0
|
作者
Jämsä-Jounela, SL [1 ]
Vermasvuori, M [1 ]
Haavisto, S [1 ]
Kämpe, J [1 ]
机构
[1] Helsinki Univ Technol, Dept Chem Technol, FIN-02150 Espoo, Finland
关键词
process monitoring; fault diagnosis; self-organizing maps; remote support;
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
Process monitoring and fault diagnosis have been widely studied in recent years, and a large number of industrial applications are reviewed. For further improvement of the reliability and safety of the process and the process equipment, the automatic early detection and localisation. of faults is of high interest. This paper presents the intelligent process fault diagnosis system. The system is capable of detecting faults of the process and the equipment. The process monitoring is performed using Kohonen Self-Organizing Maps (SOM) and the analysis of the equipment failures are integrated to the system. The structure of the integrated system is described and its performance is illustrated by case studies.
引用
收藏
页码:4437 / 4442
页数:6
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