Title :
Research on soft sensing model of loose of jig bed based on fuzzy inference system
Author :
Cheng, Jian ; Guo, Yi Nan ; Sun, Wei ; Li, Ming
Author_Institution :
Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol., China
Abstract :
According to the jig´s separation effect affected strongly by loose of Jig bed, soft sensing model of a loose Jig bed was put forward via fuzzy inference system (FIS). The corresponding fuzzy rules were originated from the operational experiences. Using the main evaluating index of the jig´s separation effect-imperfection (I) and total misplaced material (Cz), status of the loose jig bed was estimated by fuzzy inference system. The experimental simulation result and practical application effect all indicate that this method is feasible.
Keywords :
computerised instrumentation; fixtures; fuzzy set theory; inference mechanisms; sensors; fuzzy inference system; jig bed; jig separation effect; separation effect-imperfection; soft sensing model; total misplaced material; Educational institutions; Electronic mail; Fuzzy systems; Niobium; Sun;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343312
