International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
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%.
How to cite this article:
C. Riverol and J. Cooney . Fault Detection Using Fuzzy Similarities.
DOI: https://doi.org/10.36478/ijscomp.2006.193.198
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2006.193.198