Title :
Industrial applications of the intelligent fault diagnosis system
Author :
Jämsä-Jounela, S-L ; Vermasvuori, M. ; Haavisto, S. ; Kämpe, J.
Author_Institution :
Dept. of Chem. Technol., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
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 an intelligent process fault diagnosis system. The system is capable of detecting faults of the process and equipment. The process monitoring is performed using Kohonen self-organizing maps 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
Keywords :
diagnostic expert systems; fault diagnosis; process monitoring; self-organising feature maps; Kohonen self-organizing maps; fault detection; fault diagnosis; intelligent diagnostic system; process monitoring; remote support; Chemical technology; Condition monitoring; Fault detection; Fault diagnosis; Intelligent systems; Neurons; Performance analysis; Principal component analysis; Remote monitoring; Self organizing feature maps;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945677
