Title :
On-line multiple-fault-detection of fuzzy controllers
Author :
Kamiura, Naotake ; Isokawa, Teijiro ; Matsui, Nobuyuki ; Yamato, Kazuharu
Author_Institution :
Dept. of Comput. Eng., Himeji Inst. of Technol., Japan
Abstract :
In this paper we propose the on-line multiple-fault-detection of fuzzy controllers. The membership functions in each antecedent part are divided into at most four groups. The faults in each group are detected by observing calculations concerning degrees of the functions in it. Our test forms two output fuzzy sets per function, and observes the calculations concerning areas of the sets. It has the advantage of being valid for the case where the number of overlapped functions is three or more
Keywords :
fault diagnosis; functions; fuzzy control; fuzzy set theory; function degrees; fuzzy controllers; membership functions; on-line multiple-fault-detection; output fuzzy sets; overlapped functions; Bismuth; Current measurement; Fault detection; Fuzzy control; Fuzzy logic; Fuzzy sets; Information science; Noise robustness; Robust control; Testing;
Conference_Titel :
On-Line Testing Workshop, 2001. Proceedings. Seventh International
Conference_Location :
Taormina
Print_ISBN :
0-7695-1290-9
DOI :
10.1109/OLT.2001.937843