Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem

Calado, João Manuel Ferreira; Carreira, F. P. N. F.; Mendes, Mário J. G. C.; Costa, J. M. G. Sá da; Bartys, M.

http://hdl.handle.net/10400.21/10925

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
Fault detection_MJGCMendes.pdf		738.08 KB	Adobe PDF	Download

Send Feedback

Authors

Calado, João Manuel Ferreira

Carreira, F. P. N. F.

Mendes, Mário J. G. C.

Costa, J. M. G. Sá da

Bartys, M.

Abstract(s)

A computer assisted fault detection methodology based on a fuzzy qualitative simulation algorithm is described. The adoption of fuzzy sets allows a more detailed description of physical variables, through an arbitrary, but finite, disaetisatioo of the quantity space. The fuzzy representation of qualitative values is more general than ordinary interval representation, since it can represent not only the information stated by a well defined real interval but also the knowledge embedded in the soft boundaries of the interval. Such a methodology was applied to a pneumatic servomotor actuated control valve that is the benchmark problem of the EC RTN DAMADlCS.

Keywords

Qualitative simulation Fuzzy inference Fuzzy data Fault detection servomotor actuators

URI

http://hdl.handle.net/10400.21/10925

Citation

CALADO, João M. F.; [et al] – Fault detection approach based on fuzzy qualitative reasoning applied to the DAMADICS benchmark problem. IFAC Proceedings Volumes. ISSN 2589-3653. Vol. 36, N.º 5 (2003), pp. 1077-1082