For detecting gradual tool wear state on line, the methods of Wavelet Fuzzy Neural
Network, Regression Neural Network and Sample Classification Fuzzy Neural Network by detecting
cutting force, motor power of machine tool and AE signal respectively are presented. Although these
methods are not difficult to come true and processed accurately and rapidly, it is difficult to obtain
comprehensive information of machining and exact value of tool wear when using single method of
intelligent modeling and single signal detecting. For this purpose, fuzzy inference technique is
adopted to fuse the recognized data. Emulation experiment is carried out by using Matlab software
platform and this method is verified to be feasible. Experimental result indicates that by applying
fuzzy data fusion, we can get an exact tool wear forecast rapidly.