Sader, M.; Noack, R.; Zhang, Ping; Ding, Steven X.:
Fault Detection Based on Probabilistic Robustness Techniques for Belt Conveyor Systems
In: Proc. of the 16th IFAC World Congress : (04.07. – 08.07.2005) - Prague, Czech Republic, 2005, pp. 1696
2005book article/chapter in collection
TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title:
Fault Detection Based on Probabilistic Robustness Techniques for Belt Conveyor Systems
Author:
Sader, M.;Noack, R.;Zhang, Ping;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
DOI
10.3182/20050703-6-CZ-1902.01697
Appears in
Proc. of the 16th IFAC World Congress : (04.07. – 08.07.2005)
Place of publication:
Prague, Czech Republic
Year of publication:
2005
in:
pp. 1696

Abstract:

In this paper, problems and application of the computation of false alarm rate (FAR) and threshold for belt conveyor systems are studied. Based on an information system which is developed to meet the requirements on monitoring and fault detection for large scale belt conveyor systems, the probability distribution of model uncertainty is assumed to be known and will be taken into account for the design of the fault detection system. The use of the probabilistic information will get a less conservative result, compared with the worst case handling of the system uncertainties. The solution and the application on the belt conveyor system will be illustrated.