Research on application of rough set-based fuzzy neural network to micro-size drilling on-line monitoring
Jianqiao Xiong · Machinery Design and Manufacture · 2010
In order to online monitor micro-size drilling,a rough set-based fuzzy neural network system was developed.By applying rough set theory,the reduced rule sets,i.e.fuzzy neural network rules,were obtained from datum samples and then neural network structure model was designed based on those rules.That reduces the amount of network’s fuzzy rules,gets rid of the disadvantages of overmany fuzzy rules and huge structure for high-dimensional input fuzzy neural network.The so constructed fuzzy neural network was used to real-time process 3 phase current data of spindle motor,to obtain connotative wear states information of micro-size drill,and to perform on-line monitoring for micro-size drilling process.The results were shown that when monitoring liminal value was properly selected,micro-size drill breakage will be effectively prevented.