DocumentCode
1988978
Title
A robust model-based information system for monitoring and fault detection of large scale belt conveyor systems
Author
Jeinsch, T. ; Sader, M. ; Noack, R. ; Barber, K. ; Ding, S.X. ; Zang, P. ; Zhong, M.
Author_Institution
Dept. of Electr. Eng., Univ. of Appl. Sci. Lausitz, Senftenberg, Germany
Volume
4
fYear
2002
fDate
2002
Firstpage
3283
Abstract
In this paper an information system is presented, which is developed to meet the requirements on fault detection and online monitoring of large scale belt conveyor systems. The core of this information system consists of a mathematical model, observer and fault detection system.
Keywords
condition monitoring; conveyors; fault diagnosis; large-scale systems; observers; real-time systems; belt conveyor systems; fault detection; fault isolation; large scale systems; mathematical model; observer; online monitoring; robustness; simulation; Analytical models; Belts; Computerized monitoring; Fault detection; Fault diagnosis; Information systems; Large-scale systems; Mathematical model; Robustness; Steel;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020141
Filename
1020141
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