DocumentCode :
3107792
Title :
Fuzzy modeling of fine particle separating equipment
Author :
Karr, Charles L. ; Weck, Barry
Author_Institution :
Dept. of Aerosp. Eng. & Mech., Alabama Univ., Tuscaloosa, AL, USA
fYear :
1998
fDate :
20-21 Aug 1998
Firstpage :
10
Lastpage :
14
Abstract :
Researchers at the University of Alabama are investigating fuzzy systems for modeling fine particle separating equipment. Separating equipment is used in a wide variety of industries, including the mineral processing industry. This equipment is difficult to model using first principles for a number of reasons including: the systems are characterized by complex physical reactions and interactions; the systems are often poorly instrumented because of the associated cost; and the sensory information that is available is often quite noisy if not ambiguous. This paper describes fuzzy models developed for three specific separation systems common to the mineral processing industry: a grinding circuit, a hydrocyclone separator and a flotation circuit
Keywords :
fuzzy set theory; genetic algorithms; grinding; mineral processing industry; modelling; particle separators; University of Alabama; complex physical reactions; cost; fine particle separating equipment; flotation circuit; fuzzy modeling; fuzzy systems; genetic algorithm; grinding circuit; hydrocyclone separator; mineral processing industry; sensory information; Aerospace engineering; Algorithm design and analysis; Circuits; Computer industry; Electrical equipment industry; Fuzzy systems; Mathematical model; Mathematics; Minerals; Mining industry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location :
Pensacola Beach, FL
Print_ISBN :
0-7803-4453-7
Type :
conf
DOI :
10.1109/NAFIPS.1998.715519
Filename :
715519
Link To Document :
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