TY  - JOUR
T1  - Fault Detection Using Fuzzy Similarities
AU - , C. Riverol AU - , J. Cooney 
JO  - International Journal of Soft Computing
VL  - 1
IS  - 3
SP  - 193
EP  - 198
PY  - 2006
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2006.193.198
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2006.193.198
KW  - Fault detections
KW  -dryer
KW  -fuzzy logic
KW  -control process
KW  -fuzzy similarities
AB  - A novel and global strategy involving fuzzy logic is presented and validated for an industrial wood dryer. The approach suggested is based on fuzzy similarities. Initially, the system requires an offline preparation where the fault origins and type are identified and using similarity conditions and IF-THEN diagnosis rules are designed. Finally, on-line the malfunction is detected and diagnosis. The fault detection scheme has an efficiency of 98%.
ER  -