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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020141
