Tool Wear Condition Monitoring in Drilling Processes Using Fuzzy Logic
暂无分享,去创建一个
[1] Fi-John Chang,et al. Adaptive neuro-fuzzy inference system for prediction of water level in reservoir , 2006 .
[2] X. D. Fang. Expert system-supported fuzzy diagnosis of finish-turning process states , 1995 .
[3] Tae Jo Ko,et al. Tool Wear Monitoring in Diamond Turning by Fuzzy Pattern Recognition , 1994 .
[4] Elijah Kannatey-Asibu,et al. Mapping theory: a new approach to design of multi-sensor monitoring of reconfigurable machining systems (RMS) , 2001 .
[5] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[6] Gao Dao-ming,et al. ANFIS for high-pressure waterjet cleaning prediction , 2006 .
[7] Jun Wang,et al. Real-time tool condition monitoring using wavelet transforms and fuzzy techniques , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[8] Reza Langari,et al. A Neuro-Fuzzy System for Tool Condition Monitoring in Metal Cutting , 2001 .
[9] Xiaoli Li,et al. Tool wear detection with fuzzy classification and wavelet fuzzy neural network , 1999 .
[10] Gregory C. Smith,et al. A method for detecting tool wear on a CNC lathe using a doppler radar detector , 2005 .