Title :
FSC system for tool breakage detection in end milling operations
Author_Institution :
Dept. of Ind. Technol., Iowa State Univ., Ames, IA, USA
Abstract :
A fuzzy-net search classifier (FSC) system has been developed to control tool breakage in end milling operation based on fuzzy nets approach. The FSC system has the self-learning capability to generate rule bases and to fine tune the term sets of each linguist variables to the appropriate level of granularity. The performance of the FSC system is examined for an end milling operation
Keywords :
fuzzy neural nets; machining; pattern recognition; end milling operations; fuzzy nets approach; fuzzy-net search classifier; granularity; rule bases; self-learning capability; tool breakage detection; Acoustic sensors; Acoustic signal detection; Cutting tools; Electrical equipment industry; Fuzzy systems; Industrial control; Machining; Manufacturing processes; Milling; Power capacitors;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375137
